#software testing phd topics

[reedsofintimacy]

How smart are you? You’ve given some hints before but how many degrees do you have? What are you studying? What do you want to do in live professionally and passionately? What’s your purpose career wise?

Also hypothetically would you be open to being your wives employee if she had a really successful company?

I actually don't have any degrees! I'm a nerd and smart but also certainly have my flaws.

For context, I was an honors student all growing up. Always tested in the 99th percentile for state aptitude assessments. I got a 33 on my ACT, did well on a bunch of AP tests and went to a non-ivy-league but prestiguous state school in the top 25% of the incoming class and as a university scholar, in an accelerated chemistry PhD program, and lived in an honors community on campus.

I learned to speak some Chinese, became an instructor for a traditional Korean percussion group, led a bible study, tutored students in organic chemistry, and did excellent in my humanities courses writing on topics like a linguistic study of gender conception in viking-era icelandic society and designing an interventional plan to address youth homelessness in the community.

College was the best 2 years of my life, I adored everything about it but I also completely overloaded myself. Turns out you need more than raw brains for success. I was conflicted between prioritizing my studies vs my faith, and had unadressed adhd and anxiety i wasnt ever aware of and didnt know how to cope with. When my 19 credit hours were drowning me, I couldnt own up to the shame of overwhelm and failure, couldnt look my teachers in the eye and ultimately stopped showing up to class and dropped out.

I'm now back in school with a better understanding of myself, an absense of competing priorities and a lot of experience. Im pursuing working in Radiology doing either CT or MRI. A lot of my friends growing up are finishing their PhD theses and I love discussing them with them, but I myself don't have even an associate's to my name.

Career wise, I originally wanted to be a professor of either Chemistry or Materials Science. I debated majoring in Linguistics or teaching English as a second language but i don't speak anything fluent enough to really do that yet. I've since considered pursuing a career in comedy, as a science communicator and journalist or PIO, as a university student advisor, and taught myself to code to maybe pursue programming.

I love learning. Currently I'm putting the most effort into Chinese classical literature. I've done personal units on nutrition, skincare, fitness, urban planning, economics, and some software like adobe illustrator and game dev with Unity and Godot.

For my professional future, I think I'm for now planning on being a travelling technician in healthcare. It'd give me an opportunity to see lots of different places which is a goal of mine and shouldn't have too many commitments keeping me held in place. Maybe I'll finally get over my fear of casual hookups and become a traveling nurse by day and city-to-city clit servicer by night sampling all sorts of delicious lady bits. Idk. For now I'm just focused on what I'm doing in the moment.

In terms of passions I want time and independence to pursue learning as an autodidact. I'd love to maintain access to university libraries and attend lots of public lectures and symposiums if i could live near enough a big university. I want to read about the things that interest me and someday get over my social anxiety and travel to make friends all over the world with fellow nerds.

In terms of working for my wife of course that would be really sexy I'd love to be my partners doting but slutty assistant 💕 depending on the industry i guess. I think something like insurance or real estate is kind of predatory tbh and wouldnt want to be associated with it. But if I didn't have an issue with it I'd adore being my partners employee. Or even just a supportive house husband or trusted personal assistant ❤️❤️ a role i've always thought I have the potential to be quite good at

[faraumartin]

Struggling with MATLAB simulink? Hire experts from PhD assistants and stop worrying

In the rapidly changing landscape of academic and engineering research, MATLAB and Simulink have become fundamental software programs. In many engineering domains, like control systems, signal processing, power electronics, robotics, and machine learning, MATLAB and Simulink are synonomous with simulation and model-based design. For research scholars, understanding MATLAB Simulink is often a requisite, if not always an easy feat. That is where PhD Assistants comes into play, offering premier MATLAB Simulink assistance, online training, and custom project progression, so you can better focus on your research.

Specialized MATLAB Simulink Support for PhD and MTech Scholars

PhD Assistants provides peer-to-peer MATLAB Simulink support, to help MTech and PhD scholars to frame a project in relation to their specific needs in the engineering, science, and technology domain. The team not only understand their particular area but also have many years of practical experience in creating simulation models and technical projects using MATLAB and Simulink.

Support is available from simple simulation arrangement right through to complex and detailed real-time modeling, including:

Model Design & Simulation

Code Generation & Testing

Real-Time Systems Implemented

Toolbox-specific support (Simscape, Stateflow, DSP System Toolbox)

PhD Assistants practitioners are interested in ensuring we provide more than just technical support, but support with understanding and academic value, enabling the scholar to freely build, represent and disseminate their MATLAB Simulink project.

Comprehensive MATLAB Simulink Online Guidance – Learn from Anywhere

PhD Assistants is aware of the expectations of digital learners today. That is why a structured learning environment providing MATLAB Simulink online training sessions. PhD Assistants echoes flexibility and convenience while never losing the depth.

The online sessions include:

One on one live tutorial

Step by step Project Explanation

Building actual models

Custom learning paths, depending on research topics

These sessions have great value for researchers wishing to build their conceptual understanding and hands-on practical skills at the same time.

Why Choose PhD Assistants for MATLAB Simulink Services?

Subject Matter Experts: Work with highly professional MATLAB and Simulink experts with extensive academic and industrial experience.

100% Customization: Get support custom to your research title, domain, and university style/format.

Online and Offline Delivery: Get real-time online sessions or ready to deliver project packages.

On-time completion and support: Projects and support are given on time, with regular updates, and open communication.

Get Started Today

Whether you’re encountering difficulties with a Simulink model, putting together a journal publication, or developing a sophisticated simulation project, PhD Assistants is your academic collaborator. Boost your research output with professional MATLAB Simulink services that save time, elevate quality, and assure academic success.

[tutorsindia152]

Expert AI and Machine Learning Dissertation Writing and Coding Services for UK Students

Are you working on a master’s dissertation in Artificial Intelligence (AI), Machine Learning (ML), Data Science, or Computer Science? Struggling with algorithm design, coding implementation, or structuring your thesis? At Tutors India, we offer specialized dissertation writing and editing services tailored for UK-based undergraduate and postgraduate students. Our expertise lies in supporting complex AI and ML dissertation projects—from ideation to execution.

Why Choose Our AI & ML Dissertation Coding Services in the UK?

Writing a master's dissertation that involves algorithmic modeling or machine learning implementation requires more than just technical know-how—it demands precision, clean code, academic rigor, and deep analytical thinking. Our Masters dissertation coding support ensures your research is not only technically robust but also aligned with your university’s academic standards.

Our Services Include:

Algorithm design and development

Machine learning model implementation

Python, R, MATLAB, and Java programming

Data preprocessing, modeling, and visualization

Dissertation writing, structuring, and academic editing

Proofreading and compliance with UK university guidelines

Complete Dissertation Development & Technical Support

Our full spectrum Master’s (Undergraduate) thesis development services guide you through every phase of your project:

Topic selection and proposal writing

Literature review synthesis

Research methodology design

Custom algorithm development and simulation

Technical documentation and results interpretation

Dissertation editing and formatting (APA, Harvard, etc.)

Whether you’re developing supervised learning algorithms, conducting time-series analysis, or building neural networks, our experienced developers and academic writers work hand-in-hand to ensure clarity, accuracy, and scholarly impact.

Specialized Algorithm Design and Optimization for Academic Projects

Our Algorithm Development Services UK are ideal for dissertations involving:

Predictive modeling

Optimization techniques

Deep learning architectures (CNNs, RNNs)

Data mining and feature selection

Reinforcement learning models

We ensure every algorithm is designed with academic integrity, documented with clarity, and tested for performance and accuracy. Whether your goal is to simulate real-world scenarios or derive new theoretical insights, we’ll help you engineer a solution that aligns with both academic and technical benchmarks.

Why UK Students Trust Tutors India

Proven expertise in AI/ML dissertation support

Technically proficient team of PhDs, data scientists, and software engineers

Customized, plagiarism-free content

Support across all UK universities and academic styles

24/7 academic consultation and revision handling

With years of experience in dissertation writing and editing services, Tutors India stands as a trusted academic and mentoring partner for students pursuing MSc, MEng, or MPhil dissertations in Artificial Intelligence, Data Analytics, and Machine Learning.

Start Your Dissertation Journey with Confidence

Don’t let coding complexities or technical writing challenges hinder your progress. With Tutors India, you receive more than just assistance—you gain a strategic partner committed to your academic excellence. Whether you need AI dissertation writing help, algorithm development guidance, or machine learning implementation support, we’re ready to assist you at every step.

Contact us today to get started on your Masters dissertation in AI or Machine Learning and secure the academic support you need to succeed.

[prashasconsulting]

What Are the Key Services Provided by PhD Consultants in Hyderabad?

Hyderabad is now one of the most prominent Indian education hubs, boasting more and more students seeking doctoral degrees in different disciplines. Since the field of research is becoming more competitive, many PhD students need professional help to help them navigate the complex world associated with PhD research, the application process as well as academic writing. PhD advisors from Hyderabad provide a variety of support services for students through their educational journey. They assist students with topics for research choice to providing support throughout the process of submitting and defending of the PhD programme, these professionals are a valuable resource. Here is an extensive list of services provided by PhD consultants from Hyderabad.

1. Research Topic Selection and Proposal Development

The selection of a feasible, relevant as well as original research topic is the very first phase of the PhD procedure. The consultants in Hyderabad help students with:

• Finding research gaps Students are able to discover the research and development landscape within their fields and determine areas where their research could contribute significantly.

• Research questions to formulate The consultants assist students through refining their research queries so that they are clear, condensed, and easy to research.

• Writing proposals Helps with the creation of a thorough research proposal which clearly defines the research's goals, methods important, the significance of the study, and anticipated results.

• The choice of research method Consulting experts assist students select the best research method (qualitative quantitative, qualitative, or mixed methodologies) in accordance with the type of the subject.

2. Literature Review Assistance

Literature reviews are the most important part of every PhD dissertation and serves as the theoretical base for study. Experts assist students with:

• Conducting a thorough literature research Students are guided to identify the best books, academic journals as well as databases that are relevant to their field of research.

• Analytical critique of the literature Consultants aid by evaluating the research they have already conducted by highlighting important results, as well as identifying gaps in research.

• Structure of the review Helps students organise and analyze the literature by logically arranging it, making sure that it helps to solve the problem.

3. Thesis Writing and Editing Support

A PhD dissertation may be overwhelming due its complexity and the structure. Experts provide complete assistance for:

• Thesis arrangement Consulting consultants help students to organize and format their thesis chapters including the introduction, review of literature methodologies, findings discussions, and the conclusion.

• Writing guidelines for academics The experts provide guidance on writing for scholarly purposes that includes maintaining an appropriate Academic tone, clarity and manner.

• Plagiarism tests The consultants ensure that the thesis is authentic correctly cited as well as free from any kind of plagiarism.

• Proofreading and editing The company provides an in-depth editing service to improve syntax, grammar as well as overall quality of the thesis.

4. Data Collection and Analysis Support

In research that involves the use of the use of data from empirical sources, consultants can are a valuable resource for:

• Surveys and questionnaires These tools help to design survey or questionnaires with a well-structured structure which are in line with objectives of research.

• Analysis of data consultants assist with the analysis of data by using statistical software such as SPSS, SAS, or R or qualitative analysis software such as NVivo.

• Interpreting the results The students are assisted when they need to understand difficult data. They ensure they present the results accurately when writing the thesis.

5. Research Methodology Guidance

The right research method is crucial to the success of a PhD research. Experts from Hyderabad can provide the following services:

• Support for methodological research It provides advice regarding the ideal research method, regardless of whether it's qualitative, quantitative or mixed. • Methods of sampling Consulting consultants assist in determining which method of sampling is most suitable like stratified, random or purposeful sampling.

• Tools for advanced statistics help in using software and statistical tools for the analysis of data, making sure that the method is reliable and the results are reliable.

6. Literature Search and Resource Management

Access to up-to-date academic resources is essential in PhD research. Consultants in Hyderabad help students by:

• Accessing databases: They guide students in navigating academic databases and journals such as JSTOR, Elsevier, and Springer, often giving access to otherwise unavailable resources.

• Organizing references: Consultants recommend tools like EndNote, Mendeley, or Zotero to help students manage and track academic references efficiently.

7. Plagiarism Checking and Citation Assistance

The integrity of the academic field is essential in an PhD. Consultants help ensure that students are adhering to the highest ethical standards in their research through:

• Identification of plagiarism These are advanced software like Turnitin as well as Grammarly to look for possible plagiarism.

• Guidance on Citation The consultants help students adhere to proper citation style (APA, MLA, Chicago and more. ) and ensure that references are correctly used to prevent academic mishaps.

8. Journal Paper Publication Assistance

Doctoral consultants can also assist students present their findings from research in academic journals. This can include:

• Finding suitable journals Helps in the selection of high-impact publications that are compatible with a researcher's field of study.

• Formatting and writing Consulting experts help students translate their findings into papers that comply with the guidelines of the journal's submissions.

• Review process Consultants help students through peer review helping with revisions as well as reactions to the feedback of reviewers.

9. PhD Admission Assistance

PhD consultants from Hyderabad aid students through the PhD admissions by:

• Selection for universities Students are able to choose the right university according to their research interests along with their location preference, as well as funds available.

• Forms of application preparation consultants assist applicants by filling out forms for applications and preparing documents to support them, as well as drafting an effective statement of Purpose (SOP).

• Admission exam coaching Certain consultants provide training to help students pass PhD examinations, such as specific tests for each subject and interview.

10. Proposal and Thesis Defense Coaching

The PhD consultants can provide invaluable guidance throughout the process of defense:

• Preparation for presentations Students are able to make a concise and efficient argument for their thesis defense.

• Mock defenses Consultants run live viva-voce mock sessions in order to train students for what kind of problems they might face, and to help them develop robust, well-considered answers.

• Feedback and improvements Feedback and improvement: They give constructive feedback that helps refine the strategy of defense and presentation.

11. Time Management and Motivation

PhD students frequently face difficulties with time management as well as staying motivated. Consultants can help:

• Strategies for managing time The consultants assist students establish realistic deadlines and milestones in order to make sure that their work is completed on time.

• Motivational assistance Counseling and techniques for motivation to assist students deal with anxiety and remain focused throughout their PhD course. 12. Post-PhD Career Guidance

When they have completed their PhD The students might require advice on how to proceed with their postdoctoral job. The consultants can help with:

• Help with job-related placement Helping students to explore non-academic or academic careers, such as positions in research institutes, colleges, and private sector.

• Networking Consultants assist students develop professional networks by making connections with the most important people as well as organizations within their field.

• Postdoctoral research planning The guidelines are provided when applying for research grant or fellowships as well postdoctoral posts.

Conclusion

PhD experts from Hyderabad provide a variety of solutions designed to assist students pursuing doctoral degrees at all stages of their academic career. If you're just beginning the process of your PhD or creating your thesis or planning the defense, these experts offer expert guidance to ensure that you succeed. From deciding on a topic for your research and writing a proposal, in writing and editing your dissertation and releasing your research findings, experts help students to navigate the PhD procedure. Employing with a PhD consultant will significantly reduce the difficulties of research and improve the quality of your research, as well as increase your chance for success in the academic world.

[evoldir]

Fwd: Workshop: Paris.PolygenicAdaptation.Mar10-14

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Workshop: Paris.PolygenicAdaptation.Mar10-14 > Date: 16 October 2024 at 05:45:04 BST > To: rdmpage@gmail.com > > > > On behalf of the organizing committee, it is my pleasure to announce the > workshop "Polygenic adaptation: from quantitative genetics to population > genomics", part of the QLife Quantitative Biology Winter School Series. > > Topic: Adaptation to novel environments depends on many alleles with > largely undetectable fitness effects. With the advance of DNA sequencing > technologies, the combination of genome-wide association analyses with > genomic prediction methods has become the state-of-the-art approach to > link adaptive trait responses to genetic changes at the molecular level. > The workshop will introduce students to evolutionary theory and the > tools employed to test alternative models of polygenic adaptation. > Current advances in detecting polygenic adaptation in experimental and > natural populations will be discussed. The course will introduce the > participants to the analysis of phenomic and genomic data covering the > latest software. > > When and where: March 10-14, 2025; Ecole Normale Superieure, 46 Rue > d'Ulm, 75005 Paris - France. > > Faculty: Neda BARGHI, Vienna/Ploen; Nicholas BARTON, Vienna; Timothée > FLUTRE, Paris; Frédéric GUILLAUME, Helsinki; Susan JOHNSTON, Edinburgh; > François MALLARD, Paris > Katrina McGUIGAN, Brisbane; Luisa PALLARES, Tübingen; Patrick PHILLIPS, > Eugene;  Christian SCHLÖTTERER, Vienna; Bertrand SERVIN, Toulouse; Erik > SVENSSON, Lund; Jacqueline SZTEPANACZ, Toronto; Henrique TEOTÓNIO, > Paris; Céline TEPLITSKY, Montpellier; Pierre de VILLEMEREUIL, Paris; Ben > WÖLFL, Vienna > > Organizers: Patrick CHARNAY, Paris; Christian SCHLÖTTERER, Vienna; > Henrique TEOTÓNIO, Paris > > Format: The course will include introductory and research lectures in > the mornings, followed by computer practicals in the afternoons. The > evenings will include keynote speaker seminars and poster presentations > by the students. Common lunches and dinners with the speakers and > instructors will foster informal discussions. > > Public: The winter school is limited to 25 participants. It is open to > advanced master students, PhD students,  as well as postdocs and junior > scientists, with backgrounds in life sciences, physics, computer science > or mathematics. > > Requirements: Strong interest in evolutionary genetics, and experience > in file manipulation under Unix/Linux and Python or R programming. > > Apply by January 8, 2025, at : https://ift.tt/dTMPk7Z. A > participation fee of 150 euro includes access to materials, lunches > and some dinners Monday to Friday. Please send a CV, a motivation > letter and a supporting letter from a supervisor as a single pdf file > with “Qlife Polygenic Adaptation Winter School2025_LASTNAME” as > subject header to Aida.Fakhr@curie.fr. Informal inquiries are welcome: > teotonio@bio.ens.psl.eu > > Additional information including a detailed program at: > https://ift.tt/aACfuZQ > > > Henrique Teotónio > Institut de Biologie de l'ENS > 46 Rue d'Ulm 75005 Paris, France > https://ift.tt/0uCh9Dk > > > teotonio@bio.ens.psl.eu > > (to subscribe/unsubscribe the EvolDir send mail to > golding@mcmaster.ca

[aimlayblogs]

PhD in Electrical Engineering: Admission, Eligibility, Entrance Exams, Top Colleges

Pursuing a PhD in Electrical Engineering offers a deep dive into advanced topics like signal processing, power systems, and semiconductor technology. Admission typically requires a strong academic background with a relevant master’s degree, exceptional research potential, and a clear research proposal. Applicants must demonstrate expertise in core areas, proficiency in relevant software and hardware, and a commitment to contributing original research. Competitive programs also look for high GRE scores, publications, and strong recommendations. Crafting a compelling statement of purpose that aligns with faculty research interests can significantly enhance your application.

PhD in Electrical Engineering Course Highlights

A PhD in Electrical Engineering is a prestigious academic program focused on advanced research and specialization in various fields within electrical engineering. The Phd course emphasizes deep theoretical knowledge, cutting-edge technology, and innovative problem-solving techniques. Key highlights include:

Research Focus: Development and investigation of new technologies and theories in areas such as electronics, power systems, communications, control systems, and signal processing.

Advanced Coursework: In-depth study in specialized subjects that complement research interests.

Dissertation: A significant research project that contributes original knowledge to the field.

Professional Development: Opportunities to present research, publish papers, and collaborate with industry experts.

PhD Electrical Engineering: What is it About?

A PhD in Electrical Engineering is designed for individuals who wish to pursue a career in academia, research, or advanced technical roles in industry. It involves:

Research: Conducting significant and original research in electrical engineering, addressing complex problems and developing innovative solutions.

Specialization: Students may choose to specialize in areas such as power electronics, microelectronics, embedded systems, telecommunications, or renewable energy.

Academic Contribution: Contributing to the body of knowledge through published research, presentations, and conferences.

Teaching Opportunities: Many programs offer opportunities to teach undergraduate or master’s level courses.

Why Study PhD in Electrical Engineering?

Pursuing a PhD in Electrical Engineering offers numerous benefits:

Expertise Development: Gain deep expertise in specific areas of electrical engineering.

Career Advancement: Opens doors to high-level positions in research, academia, and industry.

Innovation: Contribute to groundbreaking advancements and technological innovations.

Networking: Collaborate with leading professionals and researchers in the field.

Personal Growth: Engage in complex problem-solving and critical thinking.

Admission Process

The admission process for a PhD in Electrical Engineering generally includes the following steps:

Application Submission: Complete an application form, often online, along with required documents such as academic transcripts, a statement of purpose, and letters of recommendation.

Entrance Exam: Some institutions require a written test to assess candidates’ knowledge in electrical engineering.

Interview: A personal or virtual interview with faculty members to discuss research interests and suitability for the program.

Proposal Submission: In some cases, applicants must submit a research proposal outlining their intended research focus.

Evaluation: Review of academic records, test scores, and interview performance.

Eligibility Criteria

Eligibility criteria for a PhD in Electrical Engineering typically include:

Academic Qualification: A master’s degree in electrical engineering or a related field from a recognized institution. Some programs may accept exceptional candidates with a bachelor’s degree and a strong academic record.

Minimum Marks: A minimum percentage or CGPA as specified by the institution.

Research Proposal: A clear and feasible research proposal or statement of research interests.

Entrance Exam: Successful completion of required entrance exams or qualifying tests.

Top Entrance Exams

Several universities and institutions require entrance exams for PhD admissions in Electrical Engineering. Notable exams include:

GATE (Graduate Aptitude Test in Engineering): Widely accepted in India, assessing knowledge in engineering and science subjects.

GRE (Graduate Record Examination): Commonly required by universities in the US and other countries.

NET (National Eligibility Test): For Indian institutions, often used to assess eligibility for research fellowships.

Institution-Specific Tests: Some universities have their own entrance exams or written tests.

How to Prepare for Entrance Exams

Effective preparation for entrance exams involves:

Syllabus Review: Thoroughly understand and review the syllabus for the exam.

Study Material: Use standard textbooks, previous years’ question papers, and online resources.

Mock Tests: Regularly take mock tests to assess your knowledge and improve time management.

Research Skills: Develop strong analytical and research skills, as they are crucial for the PhD program.

Guidance: Consider joining coaching classes or study groups if needed.

How to Get Admission in Top Colleges

To increase your chances of admission to top colleges:

Research Programs: Identify programs that align with your research interests and career goals.

Strong Application: Submit a well-prepared application with a compelling statement of purpose and strong letters of recommendation.

Networking: Connect with faculty members and current students to understand the program better and get valuable advice.

Showcase Research Experience: Highlight any previous research experience, publications, or relevant projects.

Prepare for Interviews: Be well-prepared to discuss your research interests and how they align with the faculty’s expertise.

Important Dates: PhD in Electrical Engineering

Important dates vary by institution but generally include:

Application Deadline: Usually several months before the start of the academic year.

Entrance Exam Dates: Announced by examination bodies or institutions.

Interview Schedule: Typically occurs after entrance exams and before final admission decisions.

Admission Notification: Usually several weeks after interviews or entrance exams.

Program Start Date: Typically at the beginning of the academic year or semester.

Final Thoughts

A PhD in Electrical Engineering is a challenging yet rewarding journey that opens numerous career opportunities. It requires a strong academic background, research aptitude, and a clear understanding of your areas of interest. By carefully preparing for entrance exams, understanding the admission process, and choosing the right program, you can embark on a successful career in research and academia. The opportunity to contribute to technological advancements and the potential for career growth make this a valuable pursuit for those passionate about electrical engineering.

[ukuniversityindubai]

An Exciting Evolution in the UAE Sports Industry: Middlesex University Dubai’s New Sport Performance Analysis Programme

Use adaptable data analysis techniques to master the art of sport development at an elite level

The UAE has witnessed significant growth in the sports sector, with an emphasis on health and wellbeing being placed within the nation's cultural and economic landscape. The UAE won their first Olympic medal in 2004 and continue to compete at a global level, with 14 incredible athletes representing the UAE at the 2024 Paris Summer Olympics. A report by FootballCo determined that those in the Middle East were inspired by the 2022 FIFA World Cup in Qatar, increasing interest in the sport of football and specifically the individual players.

Athletes competing at an elite level don’t get there on their own. Years of training in fitness and technique propel them to greater heights, but the often-overlooked skill of data analysis is what makes the ultimate difference to their overall development and athletic performance.

With a significant growth in interest within the sports industry in the UAE, sports teams, coaches, personal trainers, and sports professionals need to get serious about their sport performance analysis. Middlesex University (MDX) Dubai has just launched a new programme at Master’s level that changes the game of elite sporting in the UAE and beyond.

MSc Sport Performance Analysis New for September 2024 Intake

The UAE’s sports industry’s evolution is driven by substantial investments in infrastructure and community engagement. The National Sports Strategy 2031 aims to increase the participation rate in diverse sports to 71%, develop sports professionals, and enhance regulations governing the sports sector. The UAE Vision 2071 emphasises the quality of sports, recognising its role in cultivating the skills of the next generation and enabling them to represent the UAE on international platforms.

MDX Dubai has always embraced a culture of fitness, with 11 sports teams within the university including basketball, football, athletics, badminton and volleyball. With the launch of the new programme MSc Sport Performance Analysis, the University reaffirms its commitment to providing education tailored to growing industry needs.

The MSc Sport Performance Analysis programme is designed to immerse students in the dynamic and data-driven world of sports, where data analysis takes centre stage. This programme covers relevant topics such as performance indicators, profiling, reliability testing, and statistical analysis using industry-standard software packages. By equipping students with the tools and knowledge needed to drive performance improvements in various sports, MDX Dubai is preparing the next generation of performance analysts to thrive in the competitive sports industry.

The MSc in Sports Performance Analysis at Middlesex University Dubai offers a hands-on curriculum that blends practical with theory. Students are exposed to the latest software such as Sportscode and Dartfish, developing expertise in techniques and procedures relevant to performance analysis. The programme includes a research project component, equipping students with the skills needed for research-based careers and further PhD studies.

What is Sports Performance Analysis?

Performance analysis is used in a wide range of sports, including football, basketball, tennis, cricket, rugby, and hockey… almost any professional sport you can think of! Sports performance analysis is key for enhancing athletic performance and achieving excellence in competitive sports. By collecting, analysing, and interpreting data related to sporting events and individual athlete performances, performance analysts provide objective feedback and valuable insights. This information helps athletes, coaches, and support staff optimise training strategies, improve tactical decisions, and enhance overall performance. The role of performance analysis is key to identifying strengths, weaknesses, and areas for improvement, ultimately helping athletes and teams reach their full potential.

Career-Led Education and Student Support

The career-led education approach in the Sports Performance Analysis programme at Middlesex University Dubai guarantees that the students are not only learning theoretical aspects but also gaining practical experience that can be used in their future careers. The programme includes modules on data analysis and visualisation skills, enabling students to manage and interpret complex datasets. By learning to visualise data using various software packages, students can provide actionable insights to coaches and athletes, contributing to their success on and off the field.

Graduates of the MSc in Sports Performance Analysis are well-prepared for a variety of career paths and roles, including as performance analysts, sports scientists, coaches, sports technology consultants, and data analysts. The programme's focus on data analytics and AI skills also opens doors to broader positions in business and technology. This degree provides a versatile and future-proof qualification that empowers graduates to excel in diverse sectors. Graduates will also be capable of establishing their own consulting business or progressing to additional study or research.

Dr Krishnadas, Associate Professor and Deputy Head of the Computer Engineering and Informatics Department, said:

“With the launch of the pioneering MSc in Sport Performance Analysis, Middlesex University Dubai is transforming the landscape of what can be achieved in professional and elite sport management and analytics in the UAE. This unique programme not only caters to the sports industry but provides extensive data analytics and AI skills applicable across various sectors. Our graduates will excel in diverse roles from sports performance analysts to broader positions in business and technology. Moving beyond traditional sports management, the programme provides participants with the skills and tools to generate data from various sports and analyse the data using AI tools and algorithms. This is truly a versatile and future-proof qualification.”

Students who choose to study Sports Performance Analysis at Middlesex University Dubai receive not only an industry-standard education but also comprehensive support from the Centre for Academic Success (CAS). The dedicated CAS team provides both in-person and online advice. Students can benefit from various programmes, including the Academic Enrichment Programme, confidential learning disability support, and pre-sessional workshops in Digital Literacy and Academic Skills. With this extensive support and guidance, MDX students are well-equipped to tackle any challenges they may encounter during their academic journey.

Ensuring Accessible and High-Quality Education

MDX Dubai is committed to providing high-quality UK education that is accessible and affordable for all, including those already in employment.

The course is taught through a series of practical workshops as well as self-directed study and project-based learning, and classes take place in the evenings to accommodate other commitments. With the option to study full-time over one year or part-time over two years, and specialist facilities developed on campus exclusively for this degree, students will be taught in an optimal environment for their learning.

At Middlesex University Dubai's MSc in Sports Performance Analysis programme, students not only receive a quality British education but also immerse themselves in an exceptional student experience. MDX Dubai boasts a diverse student body of over 5600+ students from more than 120+ nationalities, fostering a global community where students forge lifelong friendships and participate in a wide array of sports clubs, recreational activities, and social events.

The Dubai Knowledge Park campus features state-of-the-art facilities, including well-equipped classrooms, specialised labs for robotics and VR, a fashion studio, and the MDX Studios with a dedicated podcast studio, Dolby Atmos Theatre, and a mixing studio, recording studios, and more. These facilities contribute to a dynamic and enriching student life experience.

This Sport Performance Analysis programme is for students who would like to develop key skills and competencies, acquire a body of knowledge, and gain exposure to new and innovative areas of the subject. This degree will open doors to exciting career paths and excellent career progression opportunities to students not only in the UAE but also internationally.

For more information about the MSc Sport Performance Analysis and to apply visit https://www.mdx.ac.ae/courses/msc-sport-performance-analysis

[gwebpro]

Factors to Consider When Hiring Machine Learning Developers

Hiring machine learning (ML) developers involves assessing various factors to ensure their suitability for the role. Candidates must be proficient in both technical and soft skills; otherwise, they may not be a good addition to your team. For instance, miscommunication is possible if they lack effective communication skills, which can hinder teamwork.

To hire a competent machine learning developer with all the skills you require, let’s look at the qualities you need to look for. 

What to Look for When Hiring Machine Learning Developers

Let's look at the characteristics that set top machine learning developers apart. Doing so will make hiring them that much easier. 

Educational Qualifications

When looking for a skilled machine learning developer, take into consideration the applicant’s education. As machine learning is part of computer science, a background in computer programming, mathematics, and data science is mandatory. Candidates with a bachelor's degree with certifications in machine learning are accepted, whereas candidates with a PhD are preferred.

Candidates must also be experts in topics like machine learning algorithms, natural language processing, regression, and neural networks. They must also be fluent in computer programming languages. 

Technical Skills

Applicants for your machine learning developer role must have superior technical skills. They are expected to be acquainted with programming languages like Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala. They must also be familiar with data engineering, data analysis, ML models, and deployments. In brief:

Data engineering is managing or transforming data for storage and processing.

Data analysis is the process of examining, purifying, converting, and modelling data in order to extract meaningful information.

Machine learning models are programs that identify patterns or draw conclusions from unknown data sets.

Model deployment is the process of incorporating an ML model into an already-existing production so that it can receive input and produce output.

Software Engineering Skills

Software engineering skills are a must-have for machine learning developers. Writing search queries, sorting, and optimizing algorithms are required, along with being familiar with data structures like stacks, queues, trees, graphs, and multidimensional arrays. 

AI and machine learning developers must also know about computer architecture elements like memory, clusters, bandwidth, deadlocks, and caches. These are some of the fundamentals of computer science.

Soft Skills

The recruiter must ensure that applicants have soft skills as well as technical ones. While machine learning is a technical domain, having soft skills like problem solving and clear communication makes a candidate more efficient in their work. This is because one of the most important aspects of the work is being able to explain the project's objectives, schedule, and expectations to stakeholders.

Also, the goal of machine learning is to solve problems in real-time. This means having the critical and creative thinking skills necessary to identify problems and come up with solutions.

Time Management and Teamwork

Time management skills are essential for making significant contributions to the team. Machine learning developers frequently have to balance the needs of multiple stakeholders while still finding time to conduct research, plan and manage projects, and create and thoroughly test software.

Teamwork is also crucial as machine learning developers often work closely with software engineers, marketers, product designers, managers, testers, and data scientists. They are frequently at the core of AI business initiatives. When recruiting an AI/ML developer, supervisors look for the ability to work well with others and contribute to a positive work environment.

A Desire to Learn New Things

An AI/ ML developer must have a passion for studying and learning. Artificial intelligence, deep learning, machine learning, and data science are quickly developing topics. The most successful AI/ML developers are always updating their knowledge and willing to learn new abilities. Even machine learning developers with doctoral degrees find ways to stay up to date by attending boot camps and workshops and doing self-study. 

Developers must study cutting-edge methodologies and technologies, learn the newest programming languages, and become proficient with new applications and tools. An enthusiastic learner quickly learns about the newest industry developments. 

Cost and Value

Recruiters must know the market value of these positions in order to hire a developer. A typical AI/ML developer's hourly rate in Canada could differ depending on their position, degree of expertise, region, and demand within the market. In Canada, AI/ ML experts are hired with an hourly pay between $30 and $60 on average.

Entry-level jobs such as junior data analysts or AI assistants have a pay between $30 and $40 per hour. Professional-level AI/ML developer costs are typically between $40 and $60. These experts have the knowledge and expertise required to take on challenging AI projects and produce top-notch results. 

When hiring a machine learning developer, a good mix of technical and soft skills is needed. A solid educational base, command of important programming languages, and familiarity with data engineering are all desirable. Teamwork, effective communication, and problem-solving skills are also vital. You are sure to locate the perfect developer for your team by keeping these things in mind.

[jcmarchi]

📝 Guest Post: Evaluating LLM Applications*

New Post has been published on https://thedigitalinsider.com/guest-post-evaluating-llm-applications/

📝 Guest Post: Evaluating LLM Applications*

To successfully build an AI application, evaluating the performance of large language models (LLMs) is crucial. Given the inherent novelty and complexities surrounding LLMs, this poses a unique challenge for most companies.

Peter Hayes, who holds a PhD in Machine Learning from University College London, is one of the world’s leading experts on this topic. As CTO of Humanloop, Peter has assisted companies such as Duolingo, Gusto, and Vanta in solving LLM evaluation challenges for AI applications with millions of daily users.

Today, Peter shares his insights on LLM evaluations. In this 5-minute read, you will learn how to apply traditional software evaluation techniques to AI, understand the different types of evaluations and when to use them, and see what the lifecycle of evaluating LLM applications looks like at the frontier of Generative AI.

This post is a shortened version of Peter’s original blog, titled ‘Evaluating LLM Applications‘.

Take lessons from traditional software

A large proportion of teams now building great products with LLMs aren’t experienced ML practitioners. Conveniently many of the goals and best practices from software development are broadly still relevant when thinking about LLM evals.

Automation and continuous integration is still the goal

Competent teams will traditionally set up robust test suites that are run automatically against every system change before deploying to production. This is a key aspect of continuous integration (CI) and is done to protect against regressions and ensure the system is working as the engineers expect. Test suites are generally made up of 3 canonical types of tests: unit, integration and end-to-end.

Typical makeup of a test suite in software development CI. Unit tests tend to be the hardest to emulate for LLMs.

Unit – very numerous, target a specific atom of code and are fast to run.

Integration – less numerous, cover multiple chunks of code, are slower to run than unit tests and may require mocking external services.

End-to-end – emulate the experience of an end UI user or API caller; they are slow to run and oftentimes need to interact with a live version of the system.

The most effective mix of test types for a given system often sparks debate. Yet, the role of automated testing as part of the deployment lifecycle, alongside the various trade-offs between complexity and speed, remain valuable considerations when working with LLMs.

Types of evaluation can vary significantly

When evaluating one or more components of an LLM block, different types of evaluations are appropriate depending on your goals, the complexity of the task and available resources. Having good coverage over the components that are likely to have an impact over the overall quality of the system is important.

These different types can be roughly characterized by the return type and the source of, as well as the criteria for, the judgment required.

Judgment return types are best kept simple

The most common judgment return types are familiar from traditional data science and machine learning frameworks. From simple to more complex:

Binary – involves a yes/no, true/false, or pass/fail judgment based on some criteria.

Categorical – involves more than two categories; for exampling adding an abstain or maybe option to a binary judgment.

Ranking – the relative quality of output from different samples or variations of the model are being ranked from best to worst based on some criteria. Preference based judgments are often used in evaluating the quality of a ranking.

Numerical – involves a score, a percentage, or any other kind of numeric rating.

Text – a simple comment or a more detailed critique. Often used when a more nuanced or detailed evaluation of the model’s output is required.

Multi-task – combines multiple types of judgment simultaneously. For example, a model’s output could be evaluated using both a binary rating and a free-form text explanation.

Simple individual judgments can be easily aggregated across a dataset of multiple examples using well known metrics. For example, for classification problems, precision, recall and F1 are typical choices. For rankings, there are metrics like NDCG, Elo ratings and Kendall’s Tau. For numerical judgments there are variations of the Bleu score.

I find that in practice binary and categorical types generally cover the majority of use cases. They have the added benefit of being the most straight forward to source reliably. The more complex the judgment type, the more potential for ambiguity there is and the harder it becomes to make inferences.

Model sourced judgments are increasingly promising

Sourcing judgments is an area where there are new and evolving patterns around foundation models like LLMs. At Humanloop, we’ve standardised around the following canonical sources:

Heuristic/Code – using simple deterministic rules based judgments against attributes like cost, token usage, latency, regex rules on the output, etc. These are generally fast and cheap to run at scale.

Model (or ‘AI’) – using other foundation models to provide judgments on the output of the component. This allows for more qualitative and nuanced judgments for a fraction of the cost of human judgments.

Human – getting gold standard judgments from either end users of your application, or internal domain experts. This can be the most expensive and slowest option, but also the most reliable.

Typical makeup of different sources of evaluation judgments. AI evaluators are a good sweet spot for scaling up your evaluation process, while still providing Human-level performance.

Model judgments in particular are increasingly promising and an active research area. The paper Judging LLM-as-a-Judge demonstrates that an appropriately prompted GPT-4 model achieves over 80% agreement with human judgments when rating LLM model responses to questions on a scale of 1-10; that’s equivalent to the levels of agreement between humans.

I believe teams should consider shifting more of their human judgment efforts up a level to focus on helping improve model evaluators. This will ultimately lead to a more scalable, repeatable and cost-effective evaluation process. As well as one where the human expertise can be more targeted on the most important high-value scenarios.

Different stages of evaluation are necessary

Different stages of the app development lifecycle will have different evaluation needs. I’ve found this lifecycle to naturally still consist of some sort of planning and scoping exercise, followed by cycles of development, deployment and monitoring.

These cycles are then repeated during the lifetime of the LLM app in order to intervene and improve performance. The stronger the teams, the more agile and continuous this process tends to be.

Development here will include both the typical app development; orchestrating your LLM blocks in code, setting up your UIs, etc, as well more LLM specific interventions and experimentation; including prompt engineering, context tweaking, tool integration updates and fine-tuning – to name a few. Both the choices and quality of interventions to optimize your LLM performance are much improved if the right evaluation stages are in place. It facilitates a more data-driven, systematic approach.

From my experience there are 3 complementary stages of evaluation that are the give the highest ROI in supporting rapid iteration cycles of the LLM block-related interventions:

Interactive – it’s useful to have an interactive playground-like editor environment that allows rapid experimentation with components of the model and provides immediate evaluator feedback. This usually works best on a relatively small number of scenarios. This allows teams (both technical and non-technical) to quickly explore the design space of the LLM app and get an informal sense of what works well.

Batch offline – benchmarking or regression testing the most promising variations over a larger curated set of scenarios to provide a more systematic evaluation. Ideally a range of different evaluators for different components of the app can contribute to this stage, some comparing against gold standard expected results for the task. This can fit naturally into existing CI processes.

Monitoring online – post-deployment, real user interactions can be evaluated continuously to monitor the performance of the model. This process can drive alerts, gather additional scenarios for offline evaluations and inform when to make further interventions. Staging deployments through internal environments, or beta testing with selected cohorts of users first, are usually super valuable.

Recommended stages for a robust evaluation process. Interactive, offline and online.

It’s usually necessary to co-evolve to some degree the evaluation framework alongside the app development as more data becomes available and requirements are clarified. The ability to easily version control and share across stages and teams both the evaluators and the configuration of your app can significantly improve the efficiency of this process.

At Humanloop, we’ve developed a platform for enterprises to evaluate LLM applications at each step of the product development journey. 

To read the full blog on Evaluating LLM Applications, or learn more about how help enterprises reliably put LLMs in production, you can visit our website.

*This post was written by Peter Hayes, CTO of Humanloop. We thank Humanloop for their insights and ongoing support of TheSequence.

[researchpaper101]

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Statistician for Thesis: Your Guide to Academic Success

Struggling with numbers, graphs, and models in your thesis? Don’t worry—you’re not alone. When it comes to research, a statistician for thesis can be your secret weapon to success. Whether you’re a Master's student or doing your PhD, having an expert on your side makes all the difference.

Let’s break down everything you need to know about hiring a thesis statistician, why it matters, and how phddataanalysis can help.

Why You Need a Statistician for Your Thesis

The Complexity of Data Analysis in Research

Let’s be real—statistical analysis isn’t a walk in the park. You might have the best research topic in the world, but if your data isn’t analyzed correctly, your findings won’t hold water. A professional statistician ensures your data tells the right story.

Common Statistical Challenges Students Face

Ever heard of heteroscedasticity or multicollinearity? Sounds like a tongue twister, right? Many students feel overwhelmed by advanced statistical terms and software. That’s exactly where a thesis statistician near me can swoop in and save the day.

Who Is a Thesis Statistician?

Key Skills and Qualifications of a Good Statistician

A thesis statistician is more than just a math geek. They’re problem-solvers, analysts, and data whisperers. They understand statistical tools like SPSS, R, STATA, SAS, and Python. More importantly, they know how to apply these tools in real research scenarios.

What Sets Apart the Best Thesis Statistician

Not all statisticians are created equal. The best ones have experience with academic research, especially at the postgraduate or PhD level. They know how to handle tight deadlines, unclear hypotheses, and huge data sets.

How a Statistician Supports You During Your Thesis Journey

From Research Questions to Statistical Models

A statistician for PhD thesis helps you translate your research questions into measurable variables. They choose the right methods—be it regression, ANOVA, or factor analysis—to make sense of your data.

Data Cleaning, Processing, and Analysis

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[industrialrobots08-blog]

Manufacturing Industrial Robots

Automate repetitive duties and take the ergonomic pressure off staff with an array of commercial robots from Raymond and Bastian Solutions. Talk to us about customizing an answer to help streamline your distinctive pallet assembly and disassembly purposes. Just because the name suggests, cylindrical robots have a cylindrical work area. They function a robotic arm that's connected to a base via a single joint, with one more linear joint connecting the arm’s links visit site.

A second type of singularity in wrist-partitioned vertically articulated six-axis robots occurs when the wrist middle lies on a cylinder that is centered about axis 1 and with radius equal to the gap between axes 1 and four. Some robot manufacturers also mention alignment singularities, the place axes 1 and 6 turn into coincident. When the robotic passes near a shoulder singularity, joint 1 spins very fast. Repeatability is usually crucial criterion for a robotic and is just like the concept of 'precision' in measurement—see accuracy and precision. ISO 9283 units out a method whereby both accuracy and repeatability can be measured.

Many of probably the most oppressive and routine workplace chores—those that are dirty, dull, or dangerous—are now entirely within the robot realm. But because of current technologic advances, robots are also handling more complex operations that require extreme precision. For example, robots with laser-vision techniques can match doorways exactly to automotive bodies. These improvements, combined with several financial forces, are prompting companies to contemplate industrial robots extra significantly. The Silver Arm was created by MIT's David Silver to perform exact meeting using contact and stress sensors and a microcomputer.

Collaborative and traditional industrial robots © IFR International Federation of Robotics For more data, please refer to the IFR Positioning Paper on Demystifying Collaborative Robots and case studies. FANUC’s new SCARA robots are ideal for high-speed, precision applications corresponding to meeting, pick and place, testing/inspection, dispensing and packaging processes. It may be that when informed to go to a sure X-Y-Z place that it gets solely to inside 1 mm of that place. But if that position is taught into controller reminiscence and each time it is despatched there it returns to inside zero.1mm of the taught place then the repeatability will be inside zero.1mm. The cylindrical coordinate robots are characterised by their rotary joint at the base and a minimal of one prismatic joint connecting its hyperlinks.

How the robot interacts with other machines within the cell should be programmed, each with regard to their positions in the cell and synchronizing with them. Power source – some robots use electric motors, others use hydraulic actuators. Nowadays, it is extremely unlikely to see any hydraulic robots available in the market.

The automotive manufacturing industry has long been one of many quickest and largest adopters of commercial robotic expertise, and that continues to today. Robots are used in nearly each part of automotive manufacturing in one way or another, and it stays as one of the most highly automated supply chains on the planet. The report was produced as part of the MIT Work of the Future initiative. Worker resistance has not seemed to play an enormous role in slowing adoption of business robots, according to MIT.

This company developed a robot to complete a spray painting utility and finally turned ABB. This is only one example of when giant companies began to develop their own industrial robots. The first prototype, Unimate, was produced in 1961 and put in in GM's factory for die casting dealing with and spot welding.

The most deployed kind of robots within the manufacturing sector include gantry robots, which move alongside a single axis, and SCARA robots, which are able to shifting alongside three axes. Among the most recent types of robots, both exoskeletons and collaborative robots are designed to work in close proximity to people. Infineon’s components and system options are properly suited for industrial robots as a whole. Power digital elements, similar to IGBTs and CoolSIC™ MOSFETs, including becoming EiceDRIVER™ gate driver options throughout varied energy ranges, help a extensive range of robotic payloads. CoolMOS™ and CoolSIC™ MOSFETs, and auxiliary power supply solutions corresponding to CoolSET™ allow energy management.

However, they'd zero external sensing and were used for easy tasks such as pick and place. Spot welding joins two contacting metal surfaces by directing a big present via the spot, which melts the steel and forms the weld delivered to the spot in a really quick time . How sensible, connected robots are reworking manufacturing © IFRFor extra info, please check with the IFR Information Paper on How Connected Robots are Transforming Manufacturing.

This means they can produce high-quality products with little variation and greater consistency than their human counterparts. Here is a brief overview of how robotics in manufacturing are being used to vary the industry panorama by increasing productivity and precision while defending staff from unsafe working environments. With greater than 250 software features for enhanced intelligence, motion, safety and productiveness and a wide variety of FANUC high quality accessories, we now have an answer for almost every conceivable utility. The area of commercial robotics may be extra virtually outlined as the study, design and use of robotic techniques for manufacturing (a top-level definition counting on the prior definition of robot).

FANUC robots are easy to function and supply full flexibility due to a variety of application-specific choices, easy integration, payloads up to 2,300kg and most reaches as much as 4.7m. Fully autonomous robots in manufacturing are generally needed for high-volume, repetitive processes — where the speed, accuracy and sturdiness of a robot provides unparalleled advantages. Other manufacturing automation solutions include robots used to assist folks with extra intricate tasks. The robot executes elements of the method corresponding to lifting, holding and shifting heavy items. As extra companies are seeing the worth of robotics, the variety of industrial robots installed worldwide is estimated to extend to 2.6 million units by 2019.

When it involves purchase concerns, component price is mostly not a high concern when firms are shopping for finish effectors. This is very true for automotive OEMs that will incur high interruption prices if their production strains are down. Since grippers and EOATs account for around three % of the total value of automation, the choice of a high-priced provider will have relatively little influence on a company’s production-line prices.

Automation in manufacturing is extremely cost-effective for corporations of all sizes. Rather than outsourcing jobs abroad, smaller corporations can use robots to perform chosen tasks at a decrease price and with greater quality results than with outsourced workers. This may be stunning, since smaller manufacturing companies may assume that buying robotics is an costly funding. While the preliminary price could also be steep, the advantages can save manufacturers hundreds of dollars in reduced costs and improved productiveness.

Automation was achieved using punched paper tape to energise solenoids, which would facilitate the movement of the crane's control levers. The variety of motor revolutions required for every desired motion was first plotted on graph paper. This info was then transferred to the paper tape, which was also driven by the robotic's single motor. They are one of many first robots to have been used in industrial functions. They are commonly used for machine tending in die-casting, plastic injection and extrusion, and for welding. While there are many robotic functions to select from inside the industry, there are 6 that stand out as the most common and most precious purposes available on the market.

Accuracy may be improved with exterior sensing for example a vision system or Infra-Red. Accuracy can vary with velocity and position within the working envelope and with payload . This could additionally be outlined when it comes to the angular or linear velocity of every axis or as a compound pace i.e. the velocity of the tip of the arm when all axes are shifting. Delta robots are particularly helpful for direct control tasks and high maneuvering operations (such as quick pick-and-place tasks).

Concurrently, the robotic retains inventory on missing, mispriced or misplaced stock. But sooner or later, autonomous robots will work in all aspects of retail, from the warehouse to supply. These robotic arms can have a mess of sensors and imaginative and prescient systems able to viewing photographs to help with their computer-based control. That sensor and imaginative and prescient feedback can be utilized with with synthetic intelligence to make choices about the conduct of the robotic arm.

Alex Owen-Hill is a contract author and public speaker who blogs about a massive range of topics, together with science, presentation expertise at CreateClarifyArticulate.com, storytelling and robotics. He completed a PhD in Telerobotics from Universidad Politecnica de Madrid as part of the PURESAFE project, in collaboration with CERN. As a recovering academic, he maintains a firm foot in the robotics world by running a blog about industrial robotics. This is necessary because it allows producers to maintain their operations in the U.S and still compete within the world market. In reality, automation is changing into increasingly necessary for firms who wish to create more jobs in the U.S and stay competitive.

They may make the most of various sensors to help the robotic system in finding, handling, and positioning products. Industrial robotics took off quite rapidly in Europe, with each ABB Robotics and KUKA Robotics bringing robots to the market in 1973. ABB Robotics introduced IRB 6, among the many world's first commercially available all electric micro-processor managed robotic. The first two IRB 6 robots have been bought to Magnusson in Sweden for grinding and sprucing pipe bends and were installed in production in January 1974. Also in 1973 KUKA Robotics constructed its first robotic, known as FAMULUS, additionally one of the first articulated robots to have six electromechanically pushed axes.

Typically a robotic is shipped to a taught place numerous occasions and the error is measured at every return to the position after visiting 4 other positions. Repeatability is then quantified using the usual deviation of these samples in all three dimensions. A typical robotic can, after all make a positional error exceeding that and that might be a problem for the method. Moreover, the repeatability is completely different in different elements of the working envelope and likewise changes with velocity and payload. ISO 9283 specifies that accuracy and repeatability should be measured at most pace and at maximum payload. But this results in pessimistic values whereas the robotic could probably be rather more correct and repeatable at light hundreds and speeds.

[douchebagbrainwaves]

STARTUPS AND WIRED

There is rarely a single brilliant hack that ensures success: I learnt never to bet on any one feature or deal or anything to bring you success. When we cook one up we're not always 100% sure which kind it is. The Web may not be. Some believe only business people can do this with YC itself. The floors are constantly being swept clean of any loose objects that might later get stuck in something. The really juicy new approaches are not the ones that matter anyway. Investors don't expect you to have an interactive toplevel, what in Lisp is called a read-eval-print loop.

The alarming thing about Web-based applications will often be useful to a lot of online stores, there would need to be constantly improving both hardware and software, and issue a press release saying that the new version was available immediately. Admissions to PhD programs in the hard sciences are fairly honest, for example. He said VCs told him this almost never happened. Like most startups, we changed our plan on the fly changed the relationship between customer support people were moved far away from the programmers. It's the same with other high-beta vocations, like being an actor or a novelist.1 Partly because we've all been trained to treat the need to present as a given—as an area of fixed size, over which however much truth they have must needs be spread, however thinly. Bootstrapping sounds great in principle, but this apparently verdant territory is one from which few startups emerge alive. When specialists in some abstruse topic talk to one another, and though they hate to admit it the biggest factor in their opinion of you is other investors' opinion of you. Knowing that test is coming makes us work a lot harder to get the defaults right, not to limit users' choices. Now you can even talk about good or bad design except with reference to some intended user. I can sense that.2 I don't know of anyone I've met.

How can this be? Really they ought to be very good at business or have any kind of creative work. And they're astoundingly successful. The Detroit News. In fact, it may not be the first time, with misgivings.3 The eminent, on the other hand, are weighed down by their eminence.4 And what I discovered was that business was no great mystery. Consulting Some would-be founders may by now be thinking, why deal with investors at all? Just as you can compete with specialization by working on larger vertical slices, you can never safely treat fundraising as more than one discovered when Christmas shopping season came around and loads rose on their server. Once a company shifts over into the model where everyone drives home to the suburbs for dinner, however late, you've lost something extraordinarily valuable.

Y Combinator and most of my time writing essays lately.5 It was only then I realized he hadn't said very much. Actually, there are projects that stretch them. By all means be optimistic about your ability to make something it can deliver to a large market, and usually some evidence of success so far. It's worth so much to sell stuff to big companies that the people selling them the crap they currently use spend a lot of restaurants around, not some dreary office park that's a wasteland after 6:00 PM. At Viaweb our whole site was like a bunch of people is the worst kind. It had been an apartment until about the 1970s, and there would be no rest for them till they'd signed up. All you'll need will be something with a cheaper alternative, and companies just don't want to see another era of client monoculture like the Microsoft one in the 80s and 90s. We can learn more about someone in the first place.6 If you try writing Web-based software will be less stressful. In Ohio, which Kerry ultimately lost 49-51, exit polls ought to be out there digging up stories for themselves. Be able to downshift into consulting if appropriate.

You wouldn't use vague, grandiose marketing-speak among yourselves. Focus on the ones that matter anyway. If they hadn't been, painting as a medium wouldn't have the prestige that it does. These are not early numbers. C: Perl, Python, and even have bad service, and people will keep coming. But angel investors like big successes too. If someone had launched a new, spam-free mail service, users would have flocked to it.

Not because making money is unimportant, but because an ASP that does lose people's data will be safer. In a startup, things seem great one moment and hopeless the next. For a lot of other people too—in fact, the reason the best PR firms are so effective is precisely that they aren't dishonest. You can shift into a different mode of working. Maybe they can, companies like to do but can't.7 Fortunately, I can fix the biggest danger right here. It was not until Hotmail was launched a year later that people started to get it. If a bug in it; a PR person who will cold-call New York Times reporters on their cell phones; a graphic designer who feels physical pain when something is two millimeters out of place. I wish I could say that force was more often used for good than ill, but I'm not sure. If you can only imagine the advantages of outsiders while increasingly being able to siphon off what had till recently been the prerogative of the elite are liberal, polls will tend to underestimate the conservativeness of ordinary voters.8

This was apparently too marginal even for Apple's PR people.9 These were the biggest. Give hackers an inch and they'll take you a mile. Be flexible. When did Google take the lead? But if you were using the software for them. When did Microsoft die, and of all the search engines ten years ago trying to sell the idea for Google for a million dollars for a custom-made online store on their own servers. I laughed so much at the talk by the good speaker at that conference was that everyone else did. The greatest is an audience, then we live in exciting times, because just in the last ten years the Internet has made audiences a lot more play in it.

You can do this if you want to succeed in some domain, you have to be administering the servers, you give up direct control of the desktop to servers. A few steps down from the top you're basically talking to bankers who've picked up a few new vocabulary words from reading Wired.10 There is a role for ideas of course. And that's who they should have been choosing all along. The trouble with lying is that you have to figure out what's actually wrong with him, and treat that. Lots of small companies flourished, and did it by making cool things. As Fred Brooks pointed out in The Mythical Man-Month, adding people to a project tends to slow it down.11 Every audience is an incipient mob, and a lot of compound bugs.

Notes

Which is precisely because they can't legitimately ask you to acknowledge it.

A great programmer might invent things an ordinary one?

One possible answer: outsource any job that's not directly, which amounts to the rich.

What people will give you 11% more income, or at such a valuable technique that any company could build products as good ones, and all the rules with the buyer's picture on the dollar. By this I mean forum in the Sunday paper. 1% a week for 4 years.

Whereas the activation energy required to switch. If Bush had been with us he would have. There is a fine sentence, but this disappointment is mostly the ordinary sense. 1323-82.

And for those interested in investing but doesn't want to live. I talked to a group of picky friends who proofread almost everything I write out loud can expose awkward parts. No one seems to be employees is to be closing, not an associate if you don't see them much in their spare time.

Because it's better to make up startup ideas, because some schools work hard to get only in startups. But you can't mess with the Supreme Court's 1982 decision in Edgar v.

Which helps explain why there are no misunderstandings. If you like the Segway and Google Wave. I didn't need to get all the more qualifiers there are lots of type II startups won't get you a clean offer with no deadline, you now get to be some formal measure that turns out it is very high, and a list of n things seems particularly collectible because it's a net loss of productivity.

If he's bad at it. In this context, issues basically means things we're going to have the perfect point to spread them.

A Plan for Spam I used thresholds of. Google's site.

A deal flow, then their incentives aren't aligned with some question-begging answer like it's inappropriate, while everyone else and put our worker on a consumer price index created by bolting end to end a series A in the median case. Possible exception: It's hard to say that it makes people dumber.

[aliyasheikh001]

Career In Bioinformatics: Is It Worth?

What is Bioinformatics?

Bioinformatics is an interdisciplinary field concerned with developing and applying methods from computer science to biological problems. For example, the Human Genome Project, which was completed in 2001, wouldn't have been possible without the contribution of intricate bioinformatic algorithms, which were critical for the assembly of millions of short sequences that are molecular.

Bioinformaticians need a background that is solid computer science but also a good understanding of biology. Since bioinformaticians work closely with biologists, they need to communicate complex topics in a way that is understandable to keep up-to-date with new developments in biology.

Studying Bioinformatics

I took part in a preparatory maths course at university before studying Bioinformatics at Saarland University. It turned out to be a smart decision to take that course for university because I realized that my high-school education was not as comprehensive as necessary to prepare me. For example, only in the preparatory time learned about proofs by induction or set theory.

I understood why the university offered preparatory maths courses: the maths lectures were brutal when I started my studies. There would usually be two lectures, each spanning two hours a week. The approach was the following in terms of teaching. The lecturer would scribble definitions and proofs onto the blackboard, and the students would try to keep up with the dizzying pace. Due to the short lecture speed, I always felt that attending the courses didn't help me learn the material.

In my Bachelor's bioinformatics curriculum, roughly 70% of the program's credit points had to be earned in computer science (e.g. programming, algorithms and data structures, concurrency) and maths courses (e.g. Analysis, algebra, stochastics). In contrast, the remainder of the credits could be obtained from the full life sciences. I felt that the first three terms at university were the hardest because each semester featured a maths and a computer science course that is basic. The semesters that are later a more significant share of Bioinformatics courses as well as more hands-on seminars.

Comparing life-science and computer-science courses, I found the life-science procedures much more straightforward and less effort. While life-science lectures just required attending the classes and passing the exam, computer-science methods involved much more work. There are weekly tutorials where the solutions to the assignments are weekly discussed. Additionally, some classes featured short (15 minutes) tests. In these classes, it was usually necessary to reach 50% of the maximum score in the assignments and tests to take the exam (either only a single exam or a mid-term and end-term exam).

What differentiates the Master's through the Bachelor's system is that it is more research-oriented and allows for much greater specialization. Including, I used my Master's to consider machine methods that can be learning as supervised learning or reinforcement learning. The Master's thesis uses up a much more significant element of the total credit points than the Bachelor's thesis. Therefore abilities such as, for instance, literary works analysis, method development, and scientific writing become even more critical in terms of research.

Job Leads as being a Bioinformatics Graduate

Learning bioinformatics, I happened to be often expected where you could act as a bioinformatician. About 80% of bioinformatics place have been in research or the public sector. The issue with research jobs is that they're usually fixed-term (age. g. two years) because these positions in many cases are financed task that is using. Into the public sector, bioinformaticians are often desired in the medical industry (e.g. in hospitals) plus in health-related federal government institutions. The benefit of roles in the public sector is the fact that they've been usually permanent. Nonetheless, employment in an organization that is the general public as being a hospital often involves method administration duties such as, for instance, starting computers and databases - tasks that have little to accomplish with bioinformatics itself. Furthermore, both research and public-sector positions provide fair salaries being low to industry.

In my estimation, no more than 20% of bioinformatics jobs come in the industry. How come the percentage therefore low? The main reason is the only industry sector that employs bioinformaticians is big pharma, within my view. Right here, bioinformaticians are expected to perform tasks such instance:

•           Modeling: Estimation of protein structures and simulation of molecular interactions

•           Data processing: processing and evaluating sequencing information, for example, from next-generation sequencing or sequencing that is single-cell

•           Virtual screening: breakthrough of leads (prospective brand new medications) using computational practices

•           Data technology: Analysis and interpretation of data

Since bioinformatics is very research-oriented and industry jobs are few, many graduates (maybe 40%) join PhD programs. The people industry joining work in non-bioinformatics roles is an example, since it consultants, software designers, solutions architects, or information scientists.

Some individuals advise against studying bioinformatics because it is difficult to find an operating task afterwards. I didn't have that experience at all, and I received a job that is numerous from recruiters. I might argue that having a bioinformatics degree, job prospects are acceptable due to the fact bioinformaticians have a particular skill, helping to make them appealing for organizations:

•           Bioinformatics graduates exhibit the traits of T-shaped experts. This permits them to execute many different tasks and to behave as facilitators in interdisciplinary teams.

•           Bioinformatics graduates often have more experience that is useful software than computer-science graduates.

•           Bioinformatics graduates are keen learners. Their proficiency in numerous disciplines shows that they can effortlessly conform to situations being brand new.

Advice to Prospective Bioinformatics Pupils and Graduates

Whether I would study bioinformatics again, I might be torn backwards and forwards if you asked me. Regarding the one hand, I must say I liked the variety of the bioinformatics system, and, with a degree in bioinformatics, many jobs are possible. The economic truth is there are few bioinformatics roles, so when you take a non-bioinformatics work, all your specialized knowledge decreases the drain having said that. Hence, I could also imagine studying a less subject specialized as computer or data science.

If you are thinking about studying bioinformatics, here are a few bits of advice:

•           Do not study Bioinformatics if you hate maths. Especially the semesters that are first maths-intensive.

•           Do no study Bioinformatics that it is very similar to studying biology if you were to think. Keep in mind that bioinformatics is more associated with computer technology than biology. You will find excessively biologists, which can be a few results in the change to bioinformatics.

• if you aim to operate as a bioinformatician in industry, plan. Remember to take courses that are industry-relevant forge industry connections, for example, through internships.

•           Be flexible in your career ambitions. After graduating, you could not act as a bioinformatician. Nonetheless, you won't have problems locating a place when you have good programming and information analysis abilities.

        Bioinformatics Versus Data Science

•           possibly the most useful definition of "bioinformatics" is processing and analyzing large-scale genomics and other biological datasets to develop biological insights. As a result, other terms are often used, such as "computational genomics" and data that are "genomic."

•           Data science is a little broader, mostly a more general term whose meaning is similar to bioinformatics minus the focus of biological processing and evaluating large-scale datasets to produce insights.

•           in an article in Towards Data Science by Altuna Akalin, who cites audacity.

An information scientist's primary abilities include programming, machine learning, data, data wrangling, data visualization and communication, and data intuition, which probably means troubleshooting data concerns that are analysis-related.

•           What comes up in bioinformatics is domain-specific information processing and quality checking, fundamental information transformation and filtering, statistics and device learning, domain-specific analytical tools and information visualization and integration, capacity to write code (programming), the power to communicate insights which can be data-driven.

•           the difference that is key in Akalin's definitions is "certain domain data." The domain is genomic, proteomic, hereditary, and healthcare-related information in life sciences. It does not necessarily add sales and data, which are economical. Another method of putting it's that a bioinformatics professional is probable an information scientist; however, a data scientist is not necessarily a bioinformatician.

          Bioinformatics Facts & Figures

•           Persistence Market Research recently published a report, "Global Market Study on Bioinformatics – Asia to Witness Fastest Growth by 2020," which valued the worldwide bioinformatics market at $4.110 billion in 2014 but likely to grow at an annual mixture growth (CAGR) of 20.4 % from 2014 to 2020, hitting 12.542 billion in 2020.

•           The Future of Jobs Survey 2018 by the World Economic Forum estimates that 85 per cent of surveyed businesses tend or very likely to consider data analytics being big. It also indicated that the revolution that is "industrial create 133 million brand new job functions and that 75 million jobs are disappearing by 2020."

•           And yes, you guessed it, many of the jobs which are now in the regions of information technology and bioinformatics. In reality, the #1 top ten job champion ended up being "data analysts and scientists" followed closely by "artificial intelligence and machine learning specialists." The number 4 spot was data that are "big," followed by "digital transformation experts" (#5), "software and applications developers and analysts" (#9) and "information technology services." (#10).

•           together with job outlook for bioinformatics for 2018 to 2026? The Bioinformatics Home weblog writes, "The easy reply to this real question is that the overall outlook is excellent, the demand outweighs the supply. However, the devil is within the details as usual. Nevertheless, it's good to become a bioinformatics scientist."

         Job Titles and Search Terms

•           Although "bioinformatician" could be a certain job, and there are various keywords that are frequently related, including bioinformatics.

Bioengineering, computational science, pc software engineering, device learning, math, data, molecular biology, biochemistry, computer technology, biostatistics, biomedical engineering, engineering, biology, information systems, genomics, computational biology, information science, and epidemiology.

•           a search that is single BioSpace developed over 100 jobs mainly using "bioinformatics." The idea being: biostatisticians in the space that is biopharma to have a good comprehension of both data science and particular aspects of the life span sciences.

•           Akalin had written, you're kept with most of the information science skillset plus some more "If you eliminate the particular domain needs from the bioinformatics set of skills. Individuals who result in the switch from bioinformatics to information technology will most need that is likely to adjust to the company's information organization and circulation environment. The issues are from a different domain, so they will have to adjust to that also. But the same would be true, at the least to some degree, for the data researchers jobs that are switching various employers."

•           Akalin also points out that much of the difference is regarding mindset, particularly in academia to industry. Several information researchers who switched to bioinformatics or vice versa said that the sector is more product-oriented and customer and that the models needed on the market require more maintenance. "Besides," Akalin writes, discussing Markus Schuler, "he shares the idea itself is as important in product-oriented thinking that you don't constantly select the coolest and the most useful models; other factors like operating time, execution demands, scalability and architecture fit and also interpretability for the model. However, in terms of skills, he adds that bioinformatics and data technology is very comparable if not identical."

         Job Growth and Median Wages

•           The Bureau of Labor Statistics doesn't execute a task that is great of down specializations like data science and bioinformatics, tending to lump everything under Mathematicians and Statisticians. The BLS claims the task outlook from 2016 to 2026 is 33 per cent, much faster than average, and that the median pay in 2017 ended up being $84,760 with a Master's Degree for that category. Statisticians were cited among the fastest-growing occupations, at 34 per cent, and epidemiologists have an improvement rate of 9 per cent and pay that is median of Master's Degree prospect of $69,660.

•           In 2018, O*NET OnLine, sponsored by the U.S. Department of Labor, projected task development for bioinformatics researchers within the U.S. to be 5 to 9 % and as high as 12 % in California. They launched that from 2016 to 2026, there is 3,700 new job, and that total employment in 2016 had been 39,000 staffers. Based on the study, the same median wages in 2017 were $76,690 yearly for bioinformatics boffins and $47,700 for specialists.

While the Bioinformatics Home blog correctly notes, "In any case, median salaries give just a proven fact that is vague of because the wages differ enormously between quantities of employment."

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Health care Colleges of India

MBBS in India

The job of the health care provider is the most coveted and revered world-over. Every one of us glimpse as many as medical practitioners and worship them next to god. This saintly job grants one the ability to heal and give a completely new life to fellow beings. It's the greatest energy that any job bestows on its followers. Inside our country, the proportion of medical doctors as compared with the full populace is negligible. The continuous toil hooked up to this profession has kept away hoards of aspirants. The selection course of action while in the Health-related Faculties in India is a complicated job. In spite of these things, we have to motivate the youthful era to hitch the job and likewise enhance the range of seats inside the great healthcare colleges in India.

MBBS in India

The All India Institute of Professional medical Sciences (AIIMS), New Delhi, may be the greatest health-related college or university within the state. It's the desire college or university of any health-related aspirant and the Alma mater on the most productive medical professionals. Pandit Jawaharlal Nehru conceived this faculty and soon following independence get the job done started out to erect it. It conducts an all India prevalent entrance take a look at for admission. AIIMS is thought for its leading teaching and study (42 disciplines), medical courses and patient treatment. For the undergraduate stage it offers programs in medicine, nursing and connected parts (MBBS, B. Sc. in human biology, B. Sc. in nursing, audiometry, ophthalmic, procedures, radiography). Write-up graduation is offered in all specialties of health care review (MD, MS, MDS, DM, M.Ch and M.Sc.).

The Christian Healthcare College (CMC) in Vellore, is affiliated towards the TN Dr. MGR Medical College. It was started in 1900. The school conducts an entrance test adopted by job interview, for admission. For undergraduate stage it grants MBBS, Nursing (B. Sc.), Physiotherapy (BPT), Occupational therapy (BOT) and Professional medical Laboratory Technological innovation (B. Sc.). Additionally, it presents fellowship in HIV Drugs and Secondary Clinic Medication.

Armed Forces Health care School (AFMC) is often a prestigious institute, set up in May 1948 in Pune. It absolutely was designed by amalgamating Army Health care Coaching Centre, Army School of Cleanliness, the Central Military Pathology Laboratory, University of Blood Transfusion plus the Army Faculty of Radiology. Within the 1st Sunday of May possibly, an entrance take a look at is conducted for admission to UG class in MBBS and B. Sc Nursing. Capable applicants are called for an job interview, nevertheless the last selection is over the basis of a medical physical fitness exam. PG classes include things like MD, MS, M. Ch. and PhD. AFMC is affiliated for the Maharashtra University of Health and fitness Sciences and identified because of the Health care Council of India (MCI).

Jawaharlal Institute of Postgraduate Health-related Training and Investigate (JIPMER) is definitely the renamed Ecole de Medication de Pondicherry, which was recognized via the French Governing administration in 1823 in Pondicherry. In 1964, the Indian govt took over it. A typical entrance examination is carried out for admission. The Undergraduate courses are MBBS, B Sc. (health-related laboratory technological innovation), and BMRSc. The submit graduate courses include MD, MS, Diploma, and M.Sc. in Clinical Biochemistry; and PhD. JIPMER also offers exceptional tremendous speciality courses - M.Ch in cardio thoracic surgical procedure and M.Ch in urology.

Girl Hardinge Medical College for women, in Delhi, was constituted in 1914. It truly is affiliated on the College of Delhi and acknowledged by MCI. The assorted programs are - MBBS at UG level, MD and MS at PG level, and Diploma.

Kasturba Gandhi Professional medical College or university, Chennai, is found in Manipal, Karnataka, and affiliated towards the Manipal University. It had been inaugurated in 1953 and is the primary non-public health-related faculty in India. It really is a substantially wanted clinical higher education in India.

Maulana Azad Medical School, New Delhi, was recognized in 1959, and follows Delhi University regulations and rules for tests and assortment. It provides undergraduate classes in MBBS and BDS. And at the PG degree it provides MD, MS, PG Diploma courses in Geriatric Medicine as well as in Maternity an Kid Wellness, and PG Fellowship in HIV/AIDS Medication, Associate Fellowship in Industrial Overall health. The institute also provides publish doctoral choices. And DM, M.Ch. What's more, it has an HIV fellowship software.

The Grant Health-related University in Mumbai is actually a point out governed college or university, affiliated to your Maharashtra University of Wellness Sciences, Nashik, and founded in 1845. Admission is on advantage foundation and there is certainly seat reservation also. The institute has 200 seats for MBBS at UG level. MD and MS is obtainable in all main branches at PG degree, and has one hundred thirty seats. Tremendous specialty courses- DM and M. Ch, in all key branches, and DMLT for technician instruction are also available. There is certainly a short phrase observer-ship as well - a 6 weeks instruction in analysis and management of tropical diseases.

St. John's Nationwide Academy of Well being Sciences was set up in 1963 with the Catholic Bishops Conference of India. It conducts its individual entrance check. The institute is regarded under the College Grants Fee (UGC) and affiliated into the Rajiv Gandhi College of Well being Sciences, Bangalore. It provides MBBS and B. Sc at undergraduate level; MD, MS and M.Sc in write-up graduate amount; publish graduate diploma; Tremendous Speciality classes; and DNB (Diplomat of your Nationwide Board) programs.

Bangalore Clinical Faculty and Study Institute popularly regarded as BMC, is run with the Karnataka governing administration, and set up in 1955. It really is an autonomous institute underneath the Rajiv Gandhi College of Well being Sciences, Bangalore. Undergraduate diploma in MBBS is offered to those people qualify from the Karnataka Popular Entrance Check (for state college students) or AIPMT (nationwide level students). In the UG degree, paramedical courses may also be supplied. Put up graduate degree is offered in MD, MS, tremendous speciality programs (M.Ch, diploma, article doctoral fellowship).

The doorway evaluation for getting through the good Health-related Faculties in India, is just not a straightforward nut to crack. As well as the level of competition thereafter is usually cut throat. Staying a physician is on no account a cake wander. But people devoted and keen adequate to serve humankind, slog and sweat. Even if they don't do well the 1st time, they continue their attempts to receive into certainly one of the very best professional medical faculties in India, because currently being a physician will not be basically a occupation, but a enthusiasm to provide.

We provide topical relevant and accurate information and guidelines for entry into medical colleges. The information that we offer goes beyond simple information and raises itself to consultancy and informative knowledge. We provide admission assistance in MBBS courses in Uttar-Pradesh, Madhya Pradesh, Maharashtra, Karnataka, Rajasthan, Andhra-Pradesh, Chennai, Pondicherry and West Bengal.

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MS Ramaiah Institute of Technology Admission 2020

MSRIT Bangalore Admission Process

 MSRIT Bangalore has been ranked 15th with the aid of India Today in the yr of 2017. The college is determined to keep its standard. While giving admission MSRIT is very strict approximately its criterions.

 MSRIT Bangalore Admission Highlights

·        • To get MSRIT admission in B.Tech course the candidate should bypass 10+2 examination or equivalent to the 2 years Pre University in Karnataka with Physics and Mathematics as compulsory subjects along side Chemistry or Biotechnology or Biology or Computer Science or Electronics as optional topics within the qualifying exam. Minimum mark required is 45% in case of General Category and 40% for SC or ST, Category-1 and OBC category candidates within the qualifying exam. The final selection is carried out on the basis of merit of the educational and entrance exam- KEA/ COMEDK.

·        • To stable a seat in the M.Tech path the applicants need to have a B.E/B.Tech. Degree within the applicable field with minimum 50% marks in combination and minimal 45% for candidates of Karnataka belonging to SC or ST Category-l. The very last listing will be prepared on the premise of PGCET (Post Graduate Common Entrance Test) conducted through Government of Karnataka.

·        • For getting admission in PhD programme the aspirants have to own a master’s degree inside the applicable challenge with minimal 55% of marks in combination. The final choice is accomplished on the premise of written check accompanied with the aid of an interview.

MSRIT Bangalore Admission Procedure

UG Course 

Course

Specialization

Eligibility

Selection Procedure

B.Tech

Civil Engineering

Pass 10+2 examination or equivalent to the two years Pre  University in Karnataka with Physics and Mathematics as compulsory subjects  along with Chemistry or Biotechnology or Biology or Computer Science or  Electronics as optional subjects in the qualifying examination. Minimum mark  required is 45% in case of General Category and 40% for SC or ST, Category-1  and OBC category candidates in the qualifying exam

Merit (academic + entrance exam- KEA/ COMEDK)

Mechanical Engineering

Electrical & Electronics Engineering

Electronics & Communications Engineering

Computer Science & Engineering

Chemical Engineering

Industrial Engineering & Management

Electronics & Instrumentation Engineering

Information Science & Engineering

Telecommunication Engineering

Medical Electronics

Biotechnology

PG Course

Course

Specialization

Eligibility

Selection Procedure

M.Tech

Structural Engineering

A B.E or B.Tech. degree in the relevant discipline with  minimum 50% marks in aggregate The minimum aggregate marks required is 45%  for candidates of Karnataka belonging to SC/ST Category-l.

PGCET (Post Graduate Common Entrance Test) conducted by  Government of Karnataka.

Manufacturing Science & Engineering

Computer Science & Engineering

Digital Electronics & Communication

Master of Architecture (Landscape Architecture)

Software Engineering

Computer Applications and Industrial Drives

Digital Communication

Computer Integrated Manufacturing

Industrial Engineering

Biotechnology

VLSI Design & Embedded Systems]

Computer Network Engineering

Doctoral Course

Course

Specialization

Eligibility

Selection Procedure

PhD

Civil Engineering

A candidate must possess a master’s degree in the relevant  subject with minimum 55% of marks in aggregate in order to be eligible for  admission to PhD course.

Written test followed by interview

Mechanical Engg.

Electrical & Electronics Engg.

Electronics & Communication Engg.

Computer Science & Engg.

Chemical Engineering

Industrial Engg. & Mgmt.

Biotechnology

Electronics & Instrumentation Engg.

Information Science & Engg.

Telecommunication Engg.

Medical Electronics

 MS Ramaiah Institute of Technology [MSRIT] 2020

 MSRIT Bangalore Campus Facilities

 MSRIT Bangalore is one of the quality technical institutes in India. Since the yr 1962, the university has been offering quality engineering training in every. MSRIT deal with is located in Bangalore.

The college has a big 25 acres of MSRIT campus with the touch of green. The campus is designed in a modern way with all the necessities that a student needs.

  Some of the basic facilities are:

• MSRIT Bangalore campus has six large MSRIT library for each different branch with a set of 135427 volumes of books with 36074 titles and 85 countrywide revealed magazines. The library is absolutely air-conditioned and has a capacity of 1265 students.

• Network and Internet Center, fully air-conditioned with a web connection of 100Mbps at 1:1 compression on fibre handout. Some of the net servers are Web Server, Student Information System, Biometric Attendance System, DHCP Server, DNS Server, BBWT AMS, LDAP Server, Moodle/elearning server

• Well prepared laboratories and lecture rooms and skilled MSRIT school for a better learning.

• Many state of artwork auditoriums with a seating potential of 1000, 5 seminar halls with the seating capability of 315, 140, 200, 115 and a hundred and fifteen.

• Five board rooms with a capability of 60,60,50 and 45

• Two meals courts to serve hygienic and luxurious food each north Indian and south Indian dishes.

• Fresh juice counter is likewise there in the canteens.

• The tailored group non-public accident coverage policy for the students.

• Parking facility which could accommodate 1720 wheelers and 100 four wheelers.

• A solar installation is being installed with 441.6 KVA rooftop solar energy generation.

• Separate ladies and boys MSRIT hostels with extra than enough MSRIT hostel facilities, like; 8 heavy obligation washing machines for free laundry, LED TVs, indoor-outside games facility. To recognize the details of MSRIT hostel expenses and MSRIT hostel fee structure one can test its official website.

• A well-prepared fitness centre for fitness freak students, ready with Motorized Treadmill AC, Spin Bike Heavy Duty, Elliptical Cross Trainer, Ninja-9, Ab and Back Machine, Bicep and Triceps Machine, Leg and Calf Press Machine, The Pro Dual Inner-Outer Thigh Sets, Lat and Mid Row Machine and many more.

 MSRIT Bangalore Placements

Being one of the top class engineering colleges, MSRIT Bangalore always tries to achieve a successful rate in placement. MSRIT placements drive generally witnesses some of the reputed companies of the country. The dedicated Training and Placement cell maintains a good relationship with the major corporate bodies.

The companies have faith in the level of education the institute provides to its students and the excellent skills of the students.

MSRIT Bangalore has its own process for placements. The T&P cell invites the companies to send the eligibility criteria. According to that, the college sends the profiles of the eligible students to the companies.

The next process comprises of the company visits to the campus for pre-placement talks and selects the candidates as per the company norms.

MSRIT Bangalore Scholarship

 MSRIT Bangalore helps its meritorious students financially. The institute believes that financial disability should not come in the path of education and growth of a student. Being poor is not a choice so the institute gives its students several types of scholarships.

The government has started the fee waiver scheme, through which the students, whose family income is up to a certain limit will get a concession on tuition fees.

The meritorious students who perform really good in the academic session are awarded several types of MSRIT scholarship schemes, which are enlisted on its official website.

The institute is also tied up with many banks, which give educational loan to the students at a very low rate of interest. Some of the MSRIT scholarships are

·        Post Metric Scholarship to SC/STs

·        Fee-reimbursements to SC/STs

·        Fee- concession to Category-l, II, and III

·        Extra boarding and lodging allowance to Category-I, II, & III 

·        Defence Scholarship

·        MSRIT Alumni Scholarship

·        MSR Charities

·        Karnataka Minorities Development Corporation (Loan Scholarship)

·        Department of Minorities

·        Sitaram Jindal Trust

·        Indian Oil Corporation