#PHD Projects in web mining

[voidmountain]

@piratedllama I can but you’re not going to like it!

Void’s guide to getting a job in conservation

My story

My educational credentials: BAs in philosophy and creative writing from a big cheap state school, and a PhD in English literature with a specialization in environmental humanities from a small private R1. Couple years as an adjunct professor.

I trained my entire life to be a literature professor. It’s all I ever wanted. By the time I was finishing my doctorate, I had a very limiting belief that I was either over- or underqualified for any job outside academia. I was wrong.

By the time I made the decision to leave academia, I had published 2.5 peer reviewed academic articles and several magazine pieces. I also had about 5ish years of part-time communications consulting under my belt from helping run the writing center at my institution. I got a part-time social media/SEO management gig, and then used a grant to fund a comms internship at a local environmental nonprofit. Then I straight up just applied to jobs at conservation orgs on LinkedIn at a rate or 5 per week for about 6 months. I was looking for jobs in communications and education. Landed a couple interviews then got a position as a comms manager. My islander heritage ended up being relevant too bc I have a cultural insight into the regions where the org works. I’ve worked here for about a year, mostly wfh desk stuff, but I like to tag along to projects so I can take pics/do interviews/help with fieldwork/coordinate community meetings & info sessions. I still have a publishing career on the side, with 2 new articles out and a book manuscript in the works.

I do not recommend doing it this way lol.

What I would do instead

Conservation orgs have room for people with all kinds of backgrounds and expertise. If your goal is to have a job similar to mine, get lots of writing and science communication experience. Be able to show that you’ve built impactful campaigns and learn your way around SEO and communications terminology. Start with internships/social media, try and get some experience working with journalists, and have a nice portfolio of campaigns (easy way to start is an awareness campaign for a particular policy or science issue). Other creative experience is a plus (photography/graphic design/web design/UI).

Fieldwork is not that hard to get into. You can get field experience as an undergrad by working in research labs or volunteering. From there, lots of conservation orgs in your area are probably looking for volunteers or part-time workers to do field monitoring. TBH you don’t really need a degree to get into fieldwork, but the ceiling is kind of low without one. With a BS you can work your way up through an org probably to a manager level position where you could lead a field team but not direct a program. Generally, without a MS or PhD, you won’t be designing programs—just carrying them out, which can be really rewarding. You can also make lateral moves towards things like project management—coordinating supplies, transportation, methods, and problem-solving stuff.

Other ways to get into the field: orgs often contract out conservation tech companies to carry out specialized operations, like aerial monitoring and bait distribution. Getting a license for like a heavy-lift drone, an ROV, or boat stuff can also get you in the thick of it.

If you want to design and direct conservation programs, unfortunately you probably need to go to grad school. I can write up a separate post about how to decide whether to pursue an advanced degree if people are interested, but my general advice is Never Enroll In A Masters Program. Either do it as a 4+1 with your undergrad or go straight for the PhD. That’s where you’ll get experience designing your own experiments and contributing to the sum of conservation knowledge.

Extremely important caveat

You do not have to do any of these things in any particular order. It’s totally cool to work in the field for a couple years before going back for the PhD. You also do not need to link your education to your job (god knows I didn’t). My side hobbies of wildlife photography and scuba diving made me a great candidate for the job I eventually got, and they didn’t have anything to do with my degree or original career path. There’s also a million other jobs that conservation orgs have that don’t involve having a science background at all—HR, finance, admin, philanthropy, consulting, & policy analysis are huge parts of this. So are other jobs that aren’t *within* conservation at all, like journalism & social organizing.

A lot of folks I meet out here in the conservation world are on their third or fourth careers. It’s very, very normal to switch it up, try many things, land somewhere, leave, and pick up somewhere else.

All this to say: the world is really, really big. Don’t feel pressured to take the shortest most linear possible path. There are a million ways to have a good life.

[kittrrrr]

Spoilers for episode 3 Full story under the cut @terrarium-of-mistakes

Pomni had just had bad days for a very long time- as long as she'd been in the circus, at least. She couldn't remember having a good day for a very long time before entering the circus. Considering the fact that she didn't remember her name, her real name, maybe her memory of before the circus shouldn't be trusted. ...It definitely couldn't be trusted but Pomni didn't like thinking about that. In this crazy world, she had herself and the other people there, which could just be a very advanced AI like Cayne. She didn't want them to be, however, they certainly could be.

Another thing that she didn't think about because she didn't like the implications. Unfortunately for Pomni, she was not very good at not thinking about things. At this rate, she was sure to abstract next. It was only a matter of time, and, boy, was Pomni starting to hate time. It didn't go fast enough or it went too fast. She couldn't win against time. Her only weapon was to Not Think. Too bad she was terrible at that. The other members of the circus helped a lot- there was that breath test today. At least she wasn't the only one with a weird reaction. Kinger could glow. She hadn't thought that she would see that (today- if she held out long enough, she would certainly see dumber stuff from sheer boredom).

Then she fell into Super Hell with Kinger, the only way out blocked by evil souls planning on escaping by possessing them the moment they took a breath. Kinger and his lucky eye throw showed that there was an exit. Exit, how she'd love to do that, and in a more permanent way then stepping out of adventures. However, running, once again, didn't work out. At least Kinger was able to pat the demonic souls out of her body. Somehow, today was shaping up to be just as bad as the Wild West adventure, maybe even a little worse. Somehow, though, Kinger was not bad company, at least in the dark.

He had a good point too. There were people here to care- they were people. Pomni couldn't handle another sentient AI or NPC. Her sanity was already teetering at an all time low. Then he brought up leaving, and it made so much sense that Pomni wondered why the crazy 90% of the time person was the one who came up with it. Well, he wasn't crazy then, and apparently he a PhD? Yeah, she wasn't questioning it. The two held their breath, and Pomni was able to make it through. It felt like she was walking next to an angel, light bouncing through the pillars on the either side of them, lighting up the dull greenish grey cliffs of Super Hell. They didn't stop holding their breath until they made it up the stairs. Pomni let her breath go first, then Kinger let his out, the glow dimming as they made it into the foyer.

Pomni scurried ahead of him; he'd be okay. He'd said so himself. She had business to take care of.

"Ragatha, I- I wanted to thank you for- for everything, really. You've really gone out of your way to make sure that I'm okay, and- and I appreciate it. A lot. Thanks." Pomni was certain her face a lovely shade of beet red, but Ragatha didn't mention it. She just ruffled her hair and gave her hug. She'd do the same for anyone. Everyone went through that transition period, after all. It sucked to go through alone, and she didn't want anyone else to have to do so.

"Enough of that, though. How was your adventure? Was it not completely terrible?" Ragatha changed the subject quickly after her little speech. It was very obvious that Pomni was uncomfortable with it. It was best not to linger. She was still a little touchy about adventures, but she didn't flinch. 

"Wow, your bar for adventures is sure low." Pomni laughed. Oh, that was a good sign.

"Yours isn't?" Ragatha rolled her eyes, a smile creeping on her face.

"Oh, mine is in Super Hell- which is where we went today! We got out okay. There was just a little demonic possession along the way, but, um... Kinger was really helpful." The two stared at where the person in question was rambling apologies to Gangle about not retrieving their comedy mask. They were more then understanding- but Kinger must've still felt guilty. Pomni certainly was.

"You sure about that?" Ragatha asked, pausing with her arms crossed to stare at Pomni.

"He is surprisingly insightful, that's all." Pomni raised her arms, stepping back. Ragatha released her postion and whispered an apolgy that was shrugged off.She smiled, thinking of something else.

"I wouldn't have thought so..." Ragatha mumbled, staring off into space. "...I kinda see it though. He's been here the longest of all of us, except for Caine."

"Caine doesn't count."

"No way. C'mon, they'll leave us behind." Pomni trotted after Ragatha, a small smile on her face. It hadn't been the greatest day ever, but in the end, it wasn't bad either. She'd take it- life was sort of just like that.

[eminentstechnologies-blog]

Web mining is the application of data mining techniques to discover patterns from the World Wide Web. Web Server is designed to serve HTTP Content.

[mahiworld-blog1]

Important libraries for data science and Machine learning.

Python has more than 137,000 libraries which is help in various ways.In the data age where data is looks like the oil or electricity .In coming days companies are requires more skilled full data scientist , Machine Learning engineer, deep learning engineer, to avail insights by processing massive data sets.

Python libraries for different data science task:

Python Libraries for Data Collection

Beautiful Soup

Scrapy

Selenium

Python Libraries for Data Cleaning and Manipulation

Pandas

PyOD

NumPy

Spacy

Python Libraries for Data Visualization

Matplotlib

Seaborn

Bokeh

Python Libraries for Modeling

Scikit-learn

TensorFlow

PyTorch

Python Libraries for Model Interpretability

Lime

H2O

Python Libraries for Audio Processing

Librosa

Madmom

pyAudioAnalysis

Python Libraries for Image Processing

OpenCV-Python

Scikit-image

Pillow

Python Libraries for Database

Psycopg

SQLAlchemy

Python Libraries for Deployment

Flask

Django

Best Framework for Machine Learning:

1. Tensorflow :

If you are working or interested about Machine Learning, then you might have heard about this famous Open Source library known as Tensorflow. It was developed at Google by Brain Team. Almost all Google’s Applications use Tensorflow for Machine Learning. If you are using Google photos or Google voice search then indirectly you are using the models built using Tensorflow.

Tensorflow is just a computational framework for expressing algorithms involving large number of Tensor operations, since Neural networks can be expressed as computational graphs they can be implemented using Tensorflow as a series of operations on Tensors. Tensors are N-dimensional matrices which represents our Data.



2. Keras :

Keras is one of the coolest Machine learning library. If you are a beginner in Machine Learning then I suggest you to use Keras. It provides a easier way to express Neural networks. It also provides some of the utilities for processing datasets, compiling models, evaluating results, visualization of graphs and many more.

Keras internally uses either Tensorflow or Theano as backend. Some other pouplar neural network frameworks like CNTK can also be used. If you are using Tensorflow as backend then you can refer to the Tensorflow architecture diagram shown in Tensorflow section of this article. Keras is slow when compared to other libraries because it constructs a computational graph using the backend infrastructure and then uses it to perform operations. Keras models are portable (HDF5 models) and Keras provides many preprocessed datasets and pretrained models like Inception, SqueezeNet, Mnist, VGG, ResNet etc

3.Theano :

Theano is a computational framework for computing multidimensional arrays. Theano is similar to Tensorflow , but Theano is not as efficient as Tensorflow because of it’s inability to suit into production environments. Theano can be used on a prallel or distributed environments just like Tensorflow.

4.APACHE SPARK:

Spark is an open source cluster-computing framework originally developed at Berkeley’s lab and was initially released on 26th of May 2014, It is majorly written in Scala, Java, Python and R. though produced in Berkery’s lab at University of California it was later donated to Apache Software Foundation.

Spark core is basically the foundation for this project, This is complicated too, but instead of worrying about Numpy arrays it lets you work with its own Spark RDD data structures, which anyone in knowledge with big data would understand its uses. As a user, we could also work with Spark SQL data frames. With all these features it creates dense and sparks feature label vectors for you thus carrying away much complexity to feed to ML algorithms.

5. CAFFE:

Caffe is an open source framework under a BSD license. CAFFE(Convolutional Architecture for Fast Feature Embedding) is a deep learning tool which was developed by UC Berkeley, this framework is mainly written in CPP. It supports many different types of architectures for deep learning focusing mainly on image classification and segmentation. It supports almost all major schemes and is fully connected neural network designs, it offers GPU as well as CPU based acceleration as well like TensorFlow.

CAFFE is mainly used in the academic research projects and to design startups Prototypes. Even Yahoo has integrated caffe with Apache Spark to create CaffeOnSpark, another great deep learning framework.

6.PyTorch.

Torch is also a machine learning open source library, a proper scientific computing framework. Its makers brag it as easiest ML framework, though its complexity is relatively simple which comes from its scripting language interface from Lua programming language interface. There are just numbers(no int, short or double) in it which are not categorized further like in any other language. So its ease many operations and functions. Torch is used by Facebook AI Research Group, IBM, Yandex and the Idiap Research Institute, it has recently extended its use for Android and iOS.

7.Scikit-learn

Scikit-Learn is a very powerful free to use Python library for ML that is widely used in Building models. It is founded and built on foundations of many other libraries namely SciPy, Numpy and matplotlib, it is also one of the most efficient tool for statistical modeling techniques namely classification, regression, clustering.

Scikit-Learn comes with features like supervised & unsupervised learning algorithms and even cross-validation. Scikit-learn is largely written in Python, with some core algorithms written in Cython to achieve performance. Support vector machines are implemented by a Cython wrapper around LIBSVM.

Below is a list of frameworks for machine learning engineers:

Apache Singa is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users.

Amazon Machine Learning  is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.  It connects to data stored in Amazon S3, Redshift, or RDS, and can run binary classification, multiclass categorization, or regression on said data to create a model.

Azure ML Studio allows Microsoft Azure users to create and train models, then turn them into APIs that can be consumed by other services. Users get up to 10GB of storage per account for model data, although you can also connect your own Azure storage to the service for larger models. A wide range of algorithms are available, courtesy of both Microsoft and third parties. You don’t even need an account to try out the service; you can log in anonymously and use Azure ML Studio for up to eight hours.

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.  Models and optimization are defined by configuration without hard-coding & user can switch between CPU and GPU. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.

H2O makes it possible for anyone to easily apply math and predictive analytics to solve today’s most challenging business problems. It intelligently combines unique features not currently found in other machine learning platforms including: Best of Breed Open Source Technology, Easy-to-use WebUI and Familiar Interfaces, Data Agnostic Support for all Common Database and File Types. With H2O, you can work with your existing languages and tools. Further, you can extend the platform seamlessly into your Hadoop environments.

Massive Online Analysis (MOA) is the most popular open source framework for data stream mining, with a very active growing community. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.

MLlib (Spark) is Apache Spark’s machine learning library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

mlpack, a C++-based machine learning library originally rolled out in 2011 and designed for “scalability, speed, and ease-of-use,” according to the library’s creators. Implementing mlpack can be done through a cache of command-line executables for quick-and-dirty, “black box” operations, or with a C++ API for more sophisticated work. Mlpack provides these algorithms as simple command-line programs and C++ classes which can then be integrated into larger-scale machine learning solutions.

Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and  visualization.

Scikit-Learn leverages Python’s breadth by building on top of several existing Python packages — NumPy, SciPy, and matplotlib — for math and science work. The resulting libraries can be used either for interactive “workbench” applications or be embedded into other software and reused. The kit is available under a BSD license, so it’s fully open and reusable. Scikit-learn includes tools for many of the standard machine-learning tasks (such as clustering, classification, regression, etc.). And since scikit-learn is developed by a large community of developers and machine-learning experts, promising new techniques tend to be included in fairly short order.

Shogun is among the oldest, most venerable of machine learning libraries, Shogun was created in 1999 and written in C++, but isn’t limited to working in C++. Thanks to the SWIG library, Shogun can be used transparently in such languages and environments: as Java, Python, C#, Ruby, R, Lua, Octave, and Matlab. Shogun is designed for unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.

TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow implements what are called data flow graphs, where batches of data (“tensors”) can be processed by a series of algorithms described by a graph. The movements of the data through the system are called “flows” — hence, the name. Graphs can be assembled with C++ or Python and can be processed on CPUs or GPUs.

Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C implementations for problems involving large amounts of data. It was written at the LISA lab to support rapid development of efficient machine learning algorithms. Theano is named after the Greek mathematician, who may have been Pythagoras’ wife. Theano is released under a BSD license.

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community.

Veles is a distributed platform for deep-learning applications, and it’s written in C++, although it uses Python to perform automation and coordination between nodes. Datasets can be analyzed and automatically normalized before being fed to the cluster, and a REST API allows the trained model to be used in production immediately. It focuses on performance and flexibility. It has little hard-coded entities and enables training of all the widely recognized topologies, such as fully connected nets, convolutional nets, recurent nets etc.

[qqueenofhades]

So.... an end-of-year note that I do have a Ko-fi.

It’s been an incredibly stressful year, it’s going to be another stressful year with a lot of uncertainty and transition and what have you as I try to graduate and get a new post somewhere, and if you, going about your merry way in this world, should happen to want to throw a few pounds at a broke and grateful PhD student on the internet, well, there it is. It’s one of the things I am most worried about going into 2019, and yeah, anyway, no pressure and I know there are a lot of similar posts right now. But there’s mine. I am close to hitting the work limit for my visa (I still have two classes to teach in the spring semester), so that’s also putting a crimp in any part-time jobs I can pick up to make ends meet.

If you have enjoyed my many fics or projects this year (including the tangled web of fate we weave, Starlight & Strange Magic, The Procurator, Timeless Season 3, breath of ash, bone of dust, and so on), there you have it. No worries as ever, completely voluntary, and know that I love and appreciate all of you very much.

xo.

[sciencespies]

Marine plankton tell the long story of ocean health, and maybe human too

https://sciencespies.com/nature/marine-plankton-tell-the-long-story-of-ocean-health-and-maybe-human-too/

Marine plankton tell the long story of ocean health, and maybe human too

Using samples from an almost century-old, ongoing survey of marine plankton, researchers at University of California San Diego School of Medicine suggest that rising levels of humanmade chemicals found in parts of the world’s oceans might be used to monitor the impact of human activity on ecosystem health, and may one day be used to study the connections between ocean pollution and land-based rates of childhood and adult chronic illnesses.

The findings are published in the January 6, 2023 issue of the journal Science of the Total Environment.

“This was a pilot study to test the feasibility of using archived samples of plankton from the Continuous Plankton Recorder (CPR) Survey to reconstruct historical trends in marine pollution over space and time,” said senior author Robert K. Naviaux, MD, PhD, professor in the Department of Medicine, Pediatrics and Pathology at UC San Diego School of Medicine. “We were motivated to explore these new methods by the alarming increase in childhood and adult chronic disease that has occurred around the world since the 1980s.

“Recent studies have underscored the tight linkage between ocean pollution and human health. In this study, we asked the question: Do changes in the plankton exposome (the measure of all exposures in a lifetime) correlate with ecosystem and fisheries health?

“We also wanted to lay the groundwork for asking a second question: Can humanmade chemicals in plankton be used as a barometer to measure changes in the global chemosphere that might contribute to childhood and adult illness? Stated another way, we wanted to test the hypothesis that the rapid turnover and sensitivity to contamination of plankton might make them a marine version of the canary in the coal mine.”

Based in the United Kingdom, the CPR Survey is the longest running, most geographically extensive marine ecology survey in the world. Since 1931, almost 300 ships have traveled more than 7.2 million miles towing sampling devices that capture plankton and environmental measurements in all of the world’s oceans, the Mediterranean, Baltic and North seas and in freshwater lakes.

The effort, along with complementary programs elsewhere, is intended to document and monitor the general health of oceans, based upon the well-being of marine plankton — a diverse collection of usually tiny organisms that provide sustenance for many other aquatic creatures, from mollusks to fish to whales.

“Marine plankton exist in all ocean ecosystems,” said study co-author Sonia Batten, PhD, former coordinator of the Pacific CPR and currently executive secretary of the North Pacific Marine Science Organization. “They create complex communities that form the base of the food web, and they play essential roles in maintaining the health and balance of the oceans. Plankton are generally short-lived and very sensitive to environmental changes.”

Naviaux, co-corresponding author Kefeng Li, PhD, a project scientist in Naviaux’s lab, and colleagues evaluated plankton specimens taken from three different locations in the North Pacific at different times between 2002 and 2020, then used a variety of technologies to assess their exposure to different humanmade chemicals, including pharmaceuticals; persistent organic pollutants (POPs) such as industrial chemicals; pesticide; phthalates and plasticizers (chemicals derived from plastics); and personal care products.

Many of these pollutants have decreased in amount over the past two decades, the researchers said, but not universally, and often in complex ways. For example, analyses suggest levels of legacy POPs and the common antibiotic amoxicillin have broadly declined in the North Pacific Ocean over the past 20 years, perhaps in part from increased federal regulation and a decrease in overall antibiotic use in the United States and Canada, but the findings are confounded by coinciding increases in use in Russia and China.

The most polluted samples were taken from nearshore areas closest to human activity and subject to phenomena like terrestrial runoff and aquaculture. In these places, there were higher levels and greater numbers of different chemicals found in plankton taxa living in those nearshore environments.

The authors said their pilot project points the way toward follow-up research designed to examine correlations between the plankton exposome, predator-prey relationships and impacted fisheries.

“Follow-up studies by epidemiologists and marine ecologists are needed to test if and how the plankton exposome correlates with important medical trends in nearby human populations like infant mortality, autism, asthma, diabetes, and dementia,” Naviaux said.

Naviaux noted the findings present new clues to explaining the nature of many chronic diseases in which phases of the cell danger response (CDR) persist, leading to chronic symptoms.

For more than a decade, Naviaux and colleagues have posited that accumulating data suggests numerous diseases and chronic illnesses, from neurodevelopmental disorders like autism spectrum disorder and neurodegenerative disorders like ALS to cancer and major depression are at least partly the consequence of metabolic dysfunction that results in incomplete healing, characterized as CDR.

Naviaux has published extensively on the topic, including how CDR can be affected by environmental factors that result in metabolic dysfunction and chronic disease.

“The purpose of CDR is to help protect the cell and jump-start the healing process after injury, by causing the cell to harden its membranes, decrease and change its interaction with neighbors, and redirect energy and resources for defense until the danger has passed,” said Naviaux.

“But sometimes the CDR gets stuck. This prevents completion of the natural healing cycle, altering the way the cell responds to the world. When this happens, cells behave as if they are still injured or in imminent danger, even though the original cause of the injury or threat has passed. We have learned that many kinds of environmental chemicals, trauma, infection, or other kinds of stress can delay or block the completion of the healing cycle. When this happens, it leads to the symptoms of chronic disease.”

“The CDR is a whole-body process that begins with mitochondria and the cell. Mitochondria are organelles in the cell that act as bio-sentinels that are constantly monitoring the chemistry of the cell and its surroundings. Mitochondria regulate metabolic activity needed for energy and movement, innate immunity, for regulating the health of the microbiome, and for making the building blocks needed for tissue repair after injury.”

In the marine plankton study, Naviaux and co-authors found that perfluoroalkyl substances (chemicals commonly used to enhance water-resistance in various everyday products, from packaging to clothing to cookware) were prominent in the plankton exposome.

Such substances are known to inhibit some mitochondrial proteins, including an important enzyme used to regulate cortisol metabolism and organisms’ responses to stress. Other chemicals found included phthalates from plastics and personal care products, such as lotions and shampoos. Phthalates are endocrine-disrupting chemicals that have been increasing in the plankton exposome for more than 20 years, and have both direct and indirect effects on mitochondria.

“Plankton are responding to the chemicals in their exposome, in part by changes in their own mitochondria that change their biology,” said Naviaux, “and so too, I would argue, are humans. It is my hope that the use of our methods by research groups around the world will reinforce the connection between ecosystem health and human health, and provide new tools to monitor how the human chemical footprint has changed over the past century.

“If the linkages are found to be close enough, plankton exposomics from observatory sites around the world might be used in the future to track and curb pollution that leads to human disease.”

Co-authors include: Jane C. Naviaux, Sai Sachin Lingampelly, Lin Wang and Jonathan M. Monk, all at UC San Diego; and Claire M. Taylor and Clare Ostle, both at the Marine Biological Association.

Funding for this research came, in part, from a consortium of funders through the North Pacific Marine Science Organization, comprised of the North Pacific Research Board, Exxon Valdez Oil Spill Trustee Council through Gulf Watch Alaska, Canadian Department of Fisheries and Oceans and the Marine Biological Association; the UC San Diego Christini Fund and the Lennox Foundation.

#Nature

[aurounivesity-blog]

BSc and MSc IT courses in India: Top BSc IT and MSc IT colleges in Gujrat

BSc or Bachelor of Science in IT is essentially about storing, processing, securing, and managing information. This degree is mainly focused on subjects such as software, databases, and networking. The BSc in IT degree is granted after completing a programme of study in the area of software development, software testing, software engineering, web design, databases, programming, computer networking and computer systems. Graduates with an information technology background can execute technology tasks associated with the processing, storing, and communication of information between computers, mobile phones, and other electronic devices. 

BSc IT Eligibility Criteria

Prospects must have passed their 10+2 level of education from a recognised educational Board.

They must have Physics, Chemistry, and Mathematics as the main subjects, and score a minimum of 50% marks.

 Entrance Exams for BSc IT Course

Admission to BSc IT programmes is offered via national-level entrance exams. However, some private universities also conduct their entrance tests. some of the popular exams conducted for admission to the BSc IT course are:

IIT JAM

IISER Entrance Exam

GSAT

NEST

CG PAT

UPCATET

ICAR AIEEA

Skills required for B.Sc

The first step for prospects desiring a career after finishing BSc IT is to learn every element of the key concepts of Information Technology. Primary skills required for a successful career as an IT professional include:

Analytical skills

Problem-solving skills

Creativity

Critical-thinking skills

Resilience

BSc IT colleges in Surat

P.P. Savani University 

AURO University 

UKA Tansadia University 

Indian School of Business Management and Administration

Master of Science or MSc in information technology or IT is a 2 years long postgraduate level master's degree program. MSc IT aspires to provide academic as well as practical knowledge on topics like software development, data mining, computer systems, analytics etc.

The prospects willing to join the MSc IT program should have a Bachelor’s degree in applicable fields like BSc in IT/ CS, BCA, BE/ BTech in IT or CS from a recognized university. They must also score a minimum of 50 per cent marks in graduation to be qualified for the course. 

The total cost of seeking the program ranges from INR 80,000 to INR 3,00,000 depending on the college of preference. Some of the MSc IT Colleges offer admission based on entrance tests, while some other universities offer admission based on marks acquired during graduation.

The MSc IT Syllabus contains important topics like web development, OS, database management, project management, cybersecurity, object-oriented programming languages and other related concepts.

After completing this course, the students are generally presented with job positions like technical analyst, software developer, and programmer, among others.

For both BSc IT courses and MSc, It courses Auro University is one of the best choices. From quality education to placements and infrastructure, you will be provided with every necessary thing for a student.

If the student wants to opt for higher studies preferably than doing the prevalent MSc IT jobs, there are many choices available. MSc IT degree allows students to pursue an MPhil or a PhD in IT and corresponding fields. If the student is wanting to elevate to administrative positions, they can study MBA in Information Technology.

MSc IT colleges in Gujarat

Anand Mercantile College of science and computer technology

Auro University

B.N. Patel institute of paramedical and science

GLS Institute of computer application

Dhirubhai Ambani Institute of information and communication technology

[doorsblacksea]

Building the trust that underpins Europe’s economies and societies

Rory Scarrott from University College Cork gives a personal and thought provoking account on how to build trust on large-scale European projects.

When I first started working in the Horizon Europe-funded DOORS project in January 2022, I will admit I was a little apprehensive. It was the scale of the initiative. Cooperation across the breadth of the European continent, with a range of stakeholders and cultures I had yet to encounter. All focused on building an ambitious technological infrastructure, an education and capacity building framework, and the core of a knowledge-driven, sustainable, blue growth ecosystem in the Black Sea. In contrast, I was new to the team, fresh out of PhD-land, with only two languages (and another two that work with frantic hand movements), and I found myself cast into this community of leading technology experts, change-makers, and creators from an array of wonderful countries and cultures. Each carried their own experience, and perspectives into the community, of which I am a small part. .

It is one of the fascinating things about European Framework programmes such as Horizon Europe. Project team members get to work, create, and address challenges with a range of perspectives and approaches shaped by diverse cultures, languages and practices. All of these activities focus on changing the status quo, enhancing Europe and associated countries for their citizens. For example, here, DOORS focuses on the Black Sea, taking the new regional Blue Growth aspirations and actually implementing the changes they require.

A very dear colleague of mine once wrote “Change transforms the basis for developing mutual understanding on which trust hinges”. This is how I see DOORS, a community across Europe, of partnerships between Black Sea change makers and European technology and research leaders. All of us are focused on changing the Black Sea’s status quo, energising the regional economy sustainably for its citizens and communities. Effectively, this change sets the scene for us to work together, and develop trust and partnership within the consortium, between regional stakeholders and the next generation of European and Black Sea innovators. This is the first newsletter of the DOORS project, ahead lies two more years of working, connecting and innovating. All the while we’ll be building the trust and respect that European business and economies are founded upon. I certainly look forward to the adventure.

This article was written for the DOORS Black Sea newsletter. Please share it widely and consider subscribing to receive future news and updates regarding our work in the Black Sea.

You can view the rest of the newsletter here in your web browser.

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What makes Pi Network unique?

Pi’s blockchain uses an adaptation of the Stellar Consensus Protocol (SCP) — an instantiation of the Federated Byzantine Agreement — to validate transactions.

Compared to traditional blockchain mining methods like proof of work or stake, Pi’s protocol uniquely provides decentralized control, low latency, flexible trust and asymptotic security at a fraction of the environmental cost. In short, fault tolerance is achieved through a decentralized web of nodes reaching consensus via a trust network of mobile users who validate their daily presence and vouch for others’ authenticity in the network to earn Pi. Environmental impact is vastly lowered since this method does not require energy-intensive hardware to mine.

Pi Network’s robust economic design is built on an intuitive and transparent model, facilitating Pi coins as a medium of exchange without token concentration. Key tenets include fair distribution (every user has the same base mining rate), scarcity (the mining rate decreases as more people join), and meritocracy (rewards are distributed based on contributions to the network).

Pi Network’s developer platform also offers numerous qualities that may interest developers. As the world’s largest identity-authenticated userbase, Pi Network has pre-built infrastructures such as a crypto wallet, user authentication, notifications, deep linking, app interoperability and many other functionalities in its pipeline. Its App Engine uses an operating system similar to Apple’s iOS, with a secure blockchain component. Community developers can incorporate Pi’s SDK and user-authentication measures into their apps, enabling Pioneers to seamlessly integrate into the Pi ecosystem and move back and forth between different interoperable apps without logging in separately or providing other contact information.

- Detailed explanation of how to register:

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Who developed Pi Network?

Pi Network is founded by Dr. Nicolas Kokkalis and Dr. Chengdiao Fan — two Stanford PhD’s in computational engineering and social sciences.

Dr. Kokkalis, in addition to developing/founding several startups and human-centered technologies in the past, teaches a Stanford’s computer science class on Decentralized Applications on Blockchain.

Dr. Fan, receiving her PhD in computational anthropology, has also worked as a founding developer of several startups and projects around scaling social communications and surfacing untapped social capital for people everywhere.

Both are strong and long term believers of the technical, financial and social potential of cryptocurrencies, but frustrated by their current limitations. To resolve traditional blockchains’ shortcomings, they employ a user-centric design philosophy that turns the development process of new blockchains upside down.

[eminentstechnologies-blog]

Definition: Web mining is the application of data mining techniques to discover patterns from the World Wide Web. Web Server is designed to serve HTTP Content. A web server is a specialized type of…

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WORK ETHIC AND COMPUTERS

Choose a project that satisfied that constraint would also satisfy the orthogonal constraint of solving users' problems—perhaps even with an additional energy that comes from trying to help people can also help you with investors. The seed funding business is finally getting some real competition. The VCs would get same number of shares for the money. And yet they're still surprised how well it ends up doing. It is by poking about inside current technology that hackers get ideas for the next one; they run pretty frequently on this route. Which means if you made a conscious effort to find ideas everyone else has paid; take it or leave it and not mind if they leave it. A List is selected. There will be lots of Java programmers, so if the programmers working for me to say for sure whether, e. Why? Worrying that you're late is one of them from doing it yourself.

Some people thought of them. We're at least one management person in the next twenty years will be like, but what it leads to. Paul Allen started Microsoft. The first thing you'll need is a browser connected to the rise of the middle class. Till recently graduating seniors had two choices: get a job. This article describes the spam-filtering techniques used in the spamproof web-based apps to share a single heap. Throw them off a cliff, and most of the startups we've funded have, and that don't include the prices of new inventions, the rich got this first. New York Times, which I called schlep blindness. Nearly all makers have day jobs early in their careers. It's much more about getting things right than most people think: startup investing does not consist of writing the compiler for your language, unless your language happens to be written by small companies.

Nothing could be better than other people at something. Some of the less imaginative ones, who had been Boylston Professor of Rhetoric at Harvard since 1851, became in 1876 the university's first professor of English. Then I realized: maybe not. The monolithic, hierarchical companies of the future. In our country, college entrance exams determine 70 to 80 percent of a person's future. If nuclear winter really is here, it is often described as a pie. Those in authority tend to be different kinds of companies to build little Web appliances. But we should expect founders to do it.

Usually you don't get taught much: you just work or don't work on big projects is, ironically, fear of wasting time. A friend of mine who knows a lot about law and business, but in the personalities of the people I know have problems with Internet addiction. Not eventually, right now. Programmers are unlike many types of workers in that the best way to get rich will do whatever they want. Doing Business in 2006, http://localhost/home/patrick/Documents/programming/python projects/UlyssesRedux/corpora/unsorted/marginal. That's why there's a separate word. For example, suppose you're just two founders and you want to take just enough money to last for a year using only the resources available. The most important thing was to stay upwind.

So if auto-retrieving spam filters would make the painting better if I changed that part? At one end you have people working on them discover a new way to focus one's energy, for example, or the brains to do it. But that was not how things worked at Viaweb. The advantage of a PhD program in French literature, but few realized it because startups were so out of fashion in 100 years will still be a bad thing. Even while I was in school, right? But that is exactly the point I'm making, though sloppier language than I'd use to make it an RFS. I'd advise you to be skeptical about claims of experience and connections. Log everything. It didn't shake itself free till a couple decades ago, geography was destiny for cities. The moment I do, I look them straight in the eye and say I'm designing a new dialect of Lisp, this ought to make him one.

You can compile or run code while compiling, and read or compile code at runtime. In the process of applying is inevitably so arduous, and the latter because the whole social thing was tapped out. But if you want to make a Japanese silicon valley, I suspect, mostly inadvertantly so. But when you use the phrase ramen profitable to describe the increasing tendency of physical machinery to be replaced by apps running on tablets. The other approach, the big bang guys. And we know from experience whether patents encourage or discourage innovation, and the 4K of RAM was in a good position to notice trends in investing. Something similar has been happening for thousands of years, then switches polarity? I don't like content is the thesis of this essay, and even have bad service, and people who look like and perhaps are college students. So if you want to sell early for a tenth or a hundredth of what it would have seemed a miracle of workmanship. It's the job equivalent of the Welcome to Las Vegas sign: The Dish.

Any programming language can be divided into two parts: the editor, written in Lisp, we'd be pondering how to let our loved ones know of our utter failure; and on and on. Instead you'll be compelled to seek growth in other ways more accurate, because users' needs often change in response to disasters they've suffered, or probably more often by hiring people from bigger companies who bring with them customs for protecting against new types of disasters. As anyone who has written a PhD dissertation knows, the way they taught me to in elementary school, but it is at least the one about which individual startups' paths oscillate. Before I give a talk I can usually be found sitting in a corner somewhere with a copy of the server software running on Unix direct to users through the browser. And I've never heard more different explanations for anything parents tell kids than why they shouldn't swear. But it's a significant cause, and it would feel to merchants to use our software. There was that same odd atmosphere created by a giant rabbit, and always snapping their fingers before eating fish, Xes are also particularly honest and industrious.

Are you overlooking one of the reasons startups win. One reason we don't see corresponding variation in income. They think the decline is cyclic, he said that little desktop computers would never be suitable for use by large teams of mediocre programmers—languages with features that, like the founders of Yahoo and Google. Maybe that will help. And yet it's true. If they're really ambitious, they want to. You also have to want them; you have to do so but be content to work for.

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The program concludes with a capstone project designed to strengthen education by building an actual business product encompassing all the important features realized all through this system. The abilities targeted on this program will help put together you for the position of a Data Scientist. This online coaching is curated by top Data Scientists from India and the United States. These SMEs have designed the course in such a fashion that even in case you are from a non-technical background and have almost zero knowledge of this domain, you can nonetheless study and adapt all concepts easily.

They have an influence-packed curriculum that enabled them to study via real-time practical examples and trade challenges. The trainers have been extraordinarily educated and gave insights into their real-time implementing challenges and experiences.

I kept looking at many institutes, after which I found 360digitmg, I approached and attended a knowledge science coaching demo, and then I realized that this is one of the best coaching institutes that I should choose. That's the place I began learning Data Science coaching in the Hitech city department of Hyderabad. I must say that I'm very much glad with the trainers and curriculum.

The complete Data Science course content is designed by industry professionals for you to get the best jobs in top MNCs. As part of Data Science online programs, you may be engaged on numerous projects and assignments that have immense implications in actual-world situations. Intellipaat presents the most relevant and up-to-date Data Scientist coaching in Hyderabad. The course curriculum is designed by prime trade professionals with extensive expertise in this area. Data Science / Analytics creating myriad jobs in all of the domains across the globe. Business organizations realised the worth of analysing the historic information to be able to make knowledgeable choices and improve their business. Digitalization in all the walks of the enterprise is helping  them to generate the info and enabling the evaluation of the information.Data Science is a broad area and you have to find out about so many ideas if you're a beginner. A Data Science course is a coaching program of around six to twelve months, often taken by trade specialists to assist candidates build a strong basis in the field.Data Science derives techniques and theories from varied fields corresponding to Mathematics, Statistics, Science, Information and Computer Science. It additionally incorporates the methods of cluster analysis, information mining, information visualization, and machine studying. Our educating assistants are a devoted staff of subject matter consultants here that will help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and allow you to enrich your studying experience, from class onboarding to project mentoring and job help. This Data Science course in Hyderabad co-developed with IBM provides you with a perception into Data Science instruments and methodologies, which is enough to prepare you to excel in your subsequent role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that can attest to your new expertise and on-the-job experience.

Through dedicated mentoring periods, you’ll discover ways to clear up a real-world, industry-aligned information science downside, from knowledge processing and model building to reporting your corporation outcomes and insights. The project is the final step within the Data Scientist Master's Program and will help you to point out your experience in knowledge science to employers. This Tableau certification course helps you master Tableau Desktop, a world-broad utilized information visualization, reporting, and enterprise intelligence software. Advance your career in analytics by learning Tableau and tips on how to greatest use this training in your work. This Data Scientist Master’s program covers intensive Data Science coaching, combining online teacher-led lessons and self-paced studying co-developed with IBM.

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360digitmg has a devoted placement cell and has partnered with 150+ corporates which is able to facilitate the interviews and assist the individuals in getting positioned. 360digitmg is the training delivery companion in the area of Data Science for 5 universities and forty+ premier educational establishments like IIM, BITS Pilani, Woxsen School of Business, University of Malaysia, and so forth. All of our trainers are working as Data Scientists with over 15+ years of professional expertise. Majority of our trainers are alumni of IIT, ISB and IIM and a few of them are PhD professionals. Owing to our college, 360digitmg

This is helping to create myriad knowledge science/analytics job alternatives in this space. The void between the demand and supply for the Data Scientists is huge and hence the salaries pertaining to Data Science are sky high and regarded to be the best within the industry. The Data Scientist profession path is lengthy and profitable because the technology of online knowledge is perpetual and growing in the future. One can kick-begin their skilled profession in any of the above-talked streams of enterprise by studying the Data Science Course in Hyderabad at FITA professionally underneath the steerage of industry specialists. Tutors at FITA offer the required coaching to college students for equipping themselves in an expert environment. If the scholars have an interest to learn both R and Python they'll opt for the integrated Data Science Master program under which they may learn in regards to the Python, Machine Learning, SAS and Tableau. Data Science Training in Hyderabad at FITA supplies the required training to the scholars and makes them perceive the concepts of Data Science and its software within the sensible eventualities.

Being a working skilled, I discovered it onerous to make time for learning a new ability. But thanks to 360digitmg , they had late night courses that match completely into my schedule. What actually caught my eye was their course curriculum, it was excellent and in sync with what is anticipated on the market from the industry. I basically needed to take up this course to step up in my organization, so I cross checked the curriculum that 360digitmg provided with my superiors. Even they had been impressed and that basically gave me the arrogance to take up a 360digitmg data science certification course. As the businesses step into the arena of Big Data, the need for the storage of knowledge additionally grew laterally.

The program will prepare you on R and Python, Machine Learning methods, data reprocessing, regression, clustering, data analytics with SAS, knowledge visualization with Tableau, and overview of the Hadoop ecosystem. The course is deliberate in such a way that even a person with restricted programming expertise can study and build a profession in Data Science. I learned Python and R and am now in a position to complete actual-time tasks with ease. I wish to enroll in different courses which might be supplied by intellipaat.

Earn a certificate in knowledge science from one of the best institutes for Data Science in Hyderabad, 360DigiTMG. The course will allow you to distinguish yourself within the job market. Apply the concepts gleaned in this course and get acknowledged within the office. This knowledge science course in hyderabad demonstrates your proficiency in advanced problem fixing with probably the most sophistical technology available in the market. The Data Science certificate is your passport to an accelerated career path. Simplilearn’s Data Science Capstone project will give you a possibility to implement the talents you realized in the Data Scientist Master’s Program.

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The Indian Data Science Market shall be valued at 6 million dollars in 2025 and the Data Analytics Outsourcing market in India is priced at $26 Billion - . India will undoubtedly witness around three lakh job openings in Data Science by 2021. India is second to the United States by way of the number of job openings in Data Science. In 2019, ninety seven,000 positions in data science and analytics have been vacant due to the lack of qualified candidates. The prime sectors creating essentially the most data science courses in hyderabad jobs are BFSI, Energy, Pharmaceutical, HealthCare, E-commerce, Media, and Retail. Today large companies, medium-sized corporations and even startups are prepared to rent information scientists in India.

All the companies have begun to shift their concentrate on building the frameworks and storage of Data. Data Science Course in Hyderabad offers a complete understanding of the course to the students. Tutors at 360digitmg trains the scholars with in-depth data of the topic and helps them in achieving their skilled careers as well. Simplilearn supplies instructor-led training, lifetime access to self-paced studying, coaching from trade consultants, and real-life industry initiatives with multiple video lessons.This course in Hyderabad is specifically designed to swimsuit both information professionals and newbies who need to make a career on this quick-growing occupation. This training will equip the students with logical and relevant programming abilities to build database models. They will have the ability to create simple machine studying algorithms like K-Means Clustering, Decision Trees, and Random Forest to solve problems and talk the solutions successfully. Understand the key ideas of Neural Networks and study Deep Learning Black Box methods like SVM.Here, you will use the R programming language, ARIMA model, time collection analysis, and knowledge visualization. So, you must understand tips on how to build an ARIMA model and fit it, discover optimum parameters by plotting PACF charts, and perform varied analyses to predict values. 360digitmg is likely one of the finest Data science institutes in Hyderabad.I suppose this online course is an efficient method to start learning Data Science and make a career in it. Also, tasks were attention-grabbing and relevant to the current industry developments. This training online includes lots of constituent elements, and the 360dgitmg course offered probably the most comprehensive and in-depth studying experience. I really favored the true-world initiatives, which helped me tackle a Data Science position in a reputed firm much easier. Data Science coaching on-line includes a lot of constituent elements, and the 360digitmg course provided the most complete and in-depth studying experience. I actually appreciated the actual-world tasks in Data Science, which helped me take on a Data Science role in a reputed firm a lot simpler. This project required you to perform TSA and perceive ARIMA and its ideas with respect to a given state of affairs.Best coaching program, My decision to be taught from Intellipaat was the most effective to improve my profession. I lately accomplished the course and skilled good high quality education offered by intellipaat.360digitmg offers a blended studying model where participants can avail themselves classroom, teacher-led on-line classes and e-learning with a single enrollment. A mixture of those three modes of learning will produce a synergistic impact on learning. One can attend a vast variety of instructor-led online periods from completely different trainers for 1 year at no extra price. No wonder 360digitmg is regarded as the most effective Data Science coaching institute in Hyderabad to grasp Data Science ideas and crack a job.All coaching comes with a number of tasks that totally check your skills, studying, and sensible data, making you completely business-prepared. At Kelly Technologies, our skilled trainers might be giving equal prominence to palms-on sensible based mostly learning together with theoretical. This Data Science Training In Hyderabad is the best choice for all of the analytics career enthusiasts who're planning to save their career in Data Science. If you might be new to programming & stats then there’s nothing to fret about, we have obtained you lined. Our Data Science training will cover the ideas right from the scratch. You will learn the fundamentals of Statistics, R, Python programming to superior AI, Machine Learning, Business Analytics & Predictive Analytics, Text Analytics and extra. With this Data Science Training In Hyderabad, college students will get to build knowledge of basic concepts like statistics, R & Python programming to advanced ideas of AI, Machine Learning, Deep Learning & TensorFlow.Our actual-time training amendments, advanced course curriculum, palms-on project based Data Science coaching will ship one of the best learning experiences. I took up many programs, but I couldn't get a job, so certainly one of my associates instructed me to join a data science course as there's a huge demand within the subject. Then I came across 360digitmg in Hyderabad after plenty of analysis. This is one of the best Data Science institutes in Hyderabad for studying Data Science Course.In this information-driven surroundings data science course in hyderabad prepares you for the surging demand of Data Science expertise and technology in all of the leading industries. There is a huge profession prospect available in the field of knowledge science and this programme is one of the most comprehensive Data Science courses within the trade at present.

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Collect all wisdom, every shines brilliantly: IoTeX Ecological Network DApp Collection (1)

With the grand discharge of the IoTeX mainnet Beta, the number of DApps on the IoTeX network has increased exponentially, and its own functions have grown to be increasingly diversified. The IoTeX blockchain architecture is certainly further developed in the direction of strong decentralization, and its own functions are continually upgraded, providing solid support for the creation of community DApps, the development of various tools, and marketplace expansion. Based on the IoTeX technologies and ecosystem, developers can simply design DApps with strong expressiveness and high scalability. Developing and publishing DApps on the IoTeX system has the features of high availability, low transaction expenses, low latency, quick completion, and assistance for the latest EVM. Next, Let us introduce some very creative IoTeX DApp --I hope you like it and talk about it together with your friends! ioPay ioPay is the desktop/mobile wallet of IoTeX. For close friends who usually send tokens, vote for nodes, interact with XRC20 tokens, or use wise contracts, ioPay can be your best choice. IoTeX provides significantly enhanced the safety and usability of the wallet-as the IOTX native token is going to be pledged, now is the optimum time to start using ioPay! IoTeX desktop wallet Tip: Similar to various other cryptocurrency wallets, the general public and personal keys are managed by the user. Friends have to use private keys or keystore data files to store keys locally to use and unlock particular wallets. Friends can just click here or scan the next BlockchainLink to download ioPay: iopay.iotex.io You can also access the net version of the web wallet: iotexscan.io/wallet Codelabs code library Have you got any unique suggestions? Do you want to recognize these suggestions? Let's start with IoTeX's Codelabs code base! Codelabs offers IoTeX programmers with tutorials and useful code development encounter, and guides developers step by step to develop apps on the IoTeX system, or add brand-new features to existing programs. Codelabs covers an array of growth, including node procedures, smart agreements, DApps, etc. Official website: codelabs.iotex.io VITA vitality ** Official website: iotex.io/vita VITA Vitality is the very first cryptocurrency (XRC-20 token) on the IoTeX blockchain. VITA Vigor provides solid support for most community-oriented items and DApps, such as for example VitaMart, TrustDice, and VitaBot. VITA Vitality does not adopt pre-mining or pre-allocation, and you also have the opportunity to obtain IOTX. This is a extremely decentralized cryptocurrency working on the IoTeX network.

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Cisky is a decentralized flight status prediction P2P system based on IoTeX blockchain technologies. Users may use IOTX to purchase agreements to predict flight standing. Cisky provides protection guarantees by sensible contracts, automatic promises settlement supplied by trusted oracles, and likes the price advantage brought by free market competition, which will subvert the original flight insurance industry. Presently, Cisky Alpha is undergoing testing, and friends can download Cisky from the official website to see it first! Bitfinex Established website: cisky.io **Introducing Cisky

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RCB Recruitment For Indian Biological Data Centre (IBDC) With 2 Lakh Monthly Salary

New Post has been published on https://biotechtimes.org/2020/06/29/rcb-recruitment-for-indian-biological-data-centre-ibdc-with-2-lakh-monthly-salary/

RCB Recruitment For Indian Biological Data Centre (IBDC) With 2 Lakh Monthly Salary

Indian Biological Data Centre (IBDC) Jobs

Indian Biological Data Centre Jobs at Regional Centre for Biotechnology. RCB has released a notification for the recruitment of candidates having Bioinformatics and Computational Biology Background. RCB Recruitment For Indian Biological Data Centre (IBDC). Check out the more details given below: 

Recruitment for Various Positions Under The Project “Indian Biological Data Centre (IBDC) Phase I”

Advertisement No. IBDC/01/2020/Recruitment/HR

RCB, with support from the Department of Biotechnology, Govt. of India, will set up the Indian Biological Data Centre (IBDC) for the storage and distribution of biological data. Applications (online mode) are invited from dynamic, result-oriented, and dedicated eligible candidates for the following contractual positions.

Post I

Name of the post: Project Head

Monthly Salary: Monthly consolidated emoluments up to Rs. 2,24,416.

No. of Vacancies: One Position

Qualifications and Experience: PhD with a minimum of twelve (12) years of experience, or MTech (in any branch of engineering or science) with minimum of fifteen (15) years of experience, in an academic setting/industry in the area of bioinformatics/ computational biology/ data science, out of which 5 years must be in scientific/technical, program/project leadership role.

Job Description: May include any other responsibility assigned by the Executive Director, RCB

Provide overall leadership for the management and growth of the program

Ensure installation of required IT infrastructure, plan the types of biological databases to be developed

Coordinate with international database consortia and biological datacenters like NCBI, EBI, etc.

Age limit: 50 years

Post II

Name of the Post: Senior Scientist (Bioinformatics/ IT)

Monthly Salary: Monthly consolidated emoluments up to Rs. 2,04,416

No. of Post: 01 Post

Age limit: 50 years

Qualifications and Experience: Ph.D. with a minimum of nine (09) years of experience, or MTech in CS/ IT/ E&C/ Bioinformatics/ Computational Biology/ Data Science with a minimum of twelve (12) years of experience, in an academic setting/industry in the area of bioinformatics/ computational biology/data science, out of which 3 years must be in scientific/technical, program/project leadership role.

Job Description: May include any other responsibility assigned by the Executive Director, RCB

Lead various sub-groups of IBDC on international standard database development or application development related to the analysis of biological data.

Development of machine learning-based data analytics or implementation of leading open source applications for high throughput analysis of biological data on CPU/GPU clusters and cloud

Post III

Name of the Post: Research Consultant

Monthly Salary: Monthly consolidated emoluments up to Rs. 2,04,416

No. of Post: 01 Post

Age limit: 50 years

Qualifications and Experience: Ph.D. with minimum of nine (09) years of experience, or MTech in CS/ IT/ E&C/ Bioinformatics/ Computational Biology/ Data Science with a minimum of twelve (12) years of experience, or BTech in CS/ IT/ E&C/ Bioinformatics/ Computational Biology/Data Science or MCA with minimum fifteen (15) years of of experience in an academic setting/industry in the area of bioinformatics/ computational biology/ data science, out of which 3 years must be in scientific/ technical program/project leadership role.

Job Description:

To act as a domain expert for applications of AI/Machine Learning, Cloud Computing/storage in biological/health sciences

planning and installation of software/tools for applications of Deep Learning in Biology

Collaborate with Parallel programmers to convert/port their application in MPI/MPICH/CUDA etc.

Post IV

Name of the Post: Database Manager

Monthly Salary: Monthly consolidated emoluments up to Rs. 1,24,541

No. of Post: 02 Posts

Age limit: 40 years

Qualifications and Experience: Ph.D. with three (03) years of experience, or MTech in CS/ IT/ E&C/ Bioinformatics/  Computational Biology/ Data Science with eight (08) years of experience in an academic setting/industry in design/implementation of modern database technologies, HPC and parallel computing, cloud computing, etc.

Job Description:

Supervise and lead the software developers and work in close coordination with domain experts for database design, application/portal development, and development of APIs etc. for various biological databases to be developed at IBDC

Interact closely with groups managing hardware/OS of IBDC computing resources

Post V

Name of the Post: Scientist

Monthly Salary: Monthly consolidated emoluments up to Rs. 1,24,541

No. of Post: 02 Posts

Age limit: 40 years

Qualifications and Experience: Ph.D. with 3 years of experience, or MTech (in any branch of engineering/science) with 6 years of experience in an academic setting/industry in the area of bioinformatics/ computational biology/data science, genomics/ proteomics/ metabolomics, structural biology, biodiversity, etc.

Job Description:

Act as a domain expert and lead person for training and supervising the curators of various databases/resources of IBDC related to his/her area of domain expertise

Design metadata, database schema in coordination with Database Managers

Design the portal for data submission, interact with researchers for data collection and help them in high throughput data analysis

Post VI

Name of the Post: Data Curator

Monthly Salary: Monthly consolidated emoluments up to Rs. 89,875

No. of Post: 08 Posts

Age limit: 35 years

Qualifications and Experience: MTech in CS/  IT/ E&C/ Bioinformatics/ Computational Biology/Data Science with four (04) years of experience, or MCA/BTech in CS/IT/E&C/Bioinformatics/ Computational Biology/Data Science, or MSc (Biological Sciences) with six (06) years of experience in the area of bioinformatics/ computational biology/data science, genomics/proteomics

Job Description:

Curation and mining of different types of biological data under the supervision of domain experts

Post VII

Name of the Post: Data Curator

Monthly Salary: Monthly consolidated emoluments up to Rs. 89,875

No. of Post: 08 Posts

Age limit: 35 years

Qualifications and Experience: MTech in CS/  IT/ E&C/ Bioinformatics/ Computational Biology/Data Science with four (04) years of experience, or MCA/BTech in CS/IT/E&C/Bioinformatics/ Computational Biology/Data Science, or MSc (Biological Sciences) with six (06) years of experience in the area of bioinformatics/ computational biology/data science, genomics/proteomics/ metabolomics, structural biology, biodiversity etc

Job Description:

Curation and mining of different types of biological data under the supervision of domain experts

Post VIII

Name of the Post: TechnicalAssistant-B

Monthly Salary: Monthly consolidated emoluments up to Rs. 41,041

No. of Post: 01 Post

Age limit: 35 years

Qualifications and Experience: MSc in any branch of Life Sciences with knowledge of programming, web server design, database, and portal development.

Job Description:

Biological Data entry and providing application support for bioinformatics/computational biology software4

How to apply for Indian Biological Data Centre Job

The application format is available on our website www.rcb.res.in. Interested candidates should fill their applications online with the requisite non-refundable fee of Rs. 1000/- (SC/ST/PH/Women candidates are exempted from payment of fees) latest by 18 July 2020.

A refund of unsuccessful or duplicate transactions may be claimed up to 1 month from the last date of submission of applications, after that no request will be entertained.

View Notification

Apply Online

Terms and Conditions for IBDC Job

The positions will be on contract, initially till the duration of the project (13 March 2021) which may be extended subject to extension of the project duration and at the discretion of the Competent Authority as per the requirement of the Centre.

The positions are subject to periodic evaluation of the performance of the incumbent and if on such evaluation, the performance is not found to be satisfactory, the contract will be terminated with one-month notice.

The appointment will be on a full-time basis and he/she will not be permitted to take up any other assignment during the period of contract. The contract may be terminated by either party by giving one-month advance notice in writing.

The consolidated emoluments shown above are only indicative and shall be decided by the selection committee for the selected candidate based on his/her relevant experience and qualification. No other perks or allowances are admissible.

The incumbent will be required to conform to the rules and regulations of RCB in force from time to time and follow the discipline rules of the Centre failing which the contract may be withdrawn at any point of time.

The incumbent will not be considered to be a permanent employee of the Center and conferment of this contract will not imply any assurance or guarantee for regular employment in the Centre. The incumbent shall not claim for regularization or absorption in the Centre. However, the incumbent may apply for the advertised posts subject to meeting eligibility criteria for the post and as per institutional policy.

All educational, professional and technical qualifications should be from a recognized Board/ University. Experience shall be counted for work done after the qualifying degree for the position.

Persons working in Govt. or Public Sector Undertaking should apply through proper channel or produce ‘No- Objection Certificate’ at the time of the selection process.

Outstation SC/ST candidates called for interview will be paid to & fro second-class railway fare, as per GOI rules on production of the proof of the same.

Canvassing in any form will be a disqualification.

Vacancy shown above is indicative only and the number may increase or decrease as per requirement and at the discretion of the Competent Authority.

Mere fulfillment of the minimum prescribed qualification and experience will not vest any right on a candidate for being called for the selection process. Only the candidates shortlisted by a duly constituted Screening Committee will be called. The decision of the Centre in this regard will be final. No interim inquiries in this regard will be entertained.

The candidates should submit a separate application for a separate post.

The incumbent will be entitled for leave as admissible to the contractual staff of the Centre. The un-availed leave cannot be carried forward or encashed.

Age relaxation as per GoI norms is available to eligible applicants.

Any dispute arising out of this advertisement including the recruitment process shall be subject to the sole jurisdiction of the Courts situated at Faridabad, Haryana.

Candidate canvassing/giving incorrect information/violating norms in any kind, detected at any stage, before or after the selection will be disqualified with immediate/retrospective effect, as the case may be.

The decisions of the Competent Authority, RCB will be final and binding in all cases.