#merge two nsf files

[evoldir]

Fwd: Postdoc: UConnecticut.EvolutionaryBioinformatics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: UConnecticut.EvolutionaryBioinformatics > Date: 11 May 2021 at 08:26:00 BST > To: rdmpage@gmail.com > > > University of Connecticut: Postdoctoral researcher in evolutionary > genomics and transcriptomics > > A postdoctoral research position is available in Dr. Daniel Bolnickขs > research group (https://ift.tt/3vWDg7n), in the Department of > Ecology and Evolution at the University of Connecticut. The research > group studies the evolution of species interactions, adaptation, and > trait variation, merging expertise in ecology, genetics, and immunology, > with stickleback-cestode interactions as a dominant focus. In recent > years we have generated multiple large genomic and transcriptomic > datasets concerning gene expression responses to cestode infection, both > stickleback and cestode population differentiation, and QTL mapping. We > seek an individual with experience in bioinformatics relevant to > population genetic and/or transcriptomic analyses of genetic data, to > contribute to analyses and publications of existing data. Opportunities > exist to pursue side-projects along with the core project task. > > The position is funded by a NIH and NSF grant. > > The postdoc will join an ongoing NIH-funded project to use CRISPR/cas9 > gene editing of threespine stickleback to evaluate the phenotypic effect > of candidate genes on host immune phenotypes and resistance to cestode > infection. The postdoc may also begin work on a related question of how > cestode genotype affects infection outcome. > > Tasks: The postdoctoral researcher will conduct analyses of existing > population genomic and transcriptomic datasets and publish peer-reviewed > articles reporting results arising from these data. > > Duration: The position is currently funded for one year. The position > could extend longer, contingent on availability of additional grant or > fellowship funds, which the PI is actively applying for. The postdoc > should be able to start in summer or fall of 2021, exact dates to be > negotiated. > > Compensation: Starting salary will be $54,000, plus health benefits. > > Qualifications: Applicants must have a PhD in evolutionary > biology, genetics, computational biology, or a closely related > field. Prior experience with analyses of genomic or transcriptomic > data is essential. Expertise in population genetics is strongly > preferred. Previous research experience and publications should > demonstrate a commitment to basic research, good work ethic, computational > skills, organizational ability, and publication productivity. > > Applications should electronically submit a single pdf file containing > the following, in order: > 1)     A statement of past research achievements, including relevant >       skills (1-2 pages) > 2)     A statement of what you can contribute to the Bolnick Labขs >       research (1 page) > 3)  CV > 4)  A copy of two publications or submitted manuscripts. > > 3) A list of three references, with contact information (email, >   telephone, and mailing address). We will request letters directly >   from these references, after identifying top candidates. Please >   notify the references that they may be contacted by Dr. Bolnick for >   recommendations. > > An initial application should be emailed to Dr. Daniel Bolnick ( > daniel.bolnick@uconn.edu ), though applicants will eventually need > to also submit materials via the University of Connecticut job site > once the position is posted (URL to be determined, inquire from > Dr. Bolnick). Include the subject line "Evolutionary bioinformatics > Postdoc: ". Application review will begin on June 1 2021, > though late applications will be accepted until the position is filled. > > For questions about this position, please email Dr. Bolnick > (daniel.bolnick@uconn.edu). For information about the Bolnick Lab > visit the lab website (https://ift.tt/3vWDg7n ), lab > photostream (https://ift.tt/2w0fkqq), > and Dr. Bolnickขs Google Scholar page > (https://ift.tt/2UK8pdk). > > The University of Connecticut is an Equal Opportunity Employer. Applicants > with questions about disability services can privately discuss their > application with the University of Texas Disability Services Office > (https://ift.tt/2RdTfMH ).  A statement of BolnickLab values > can be found here: https://ift.tt/3jkxvK4 > > > > Dr. Daniel I. Bolnick > Editor-In-Chief, The American Naturalist > Professor, Ecology and Evolutionary Biology & Institute for Systems > Genomics > > daniel.bolnick@uconn.edu > > MAIL TO: > Department of Ecology and Evolutionary Biology > 75 N. Eagleville Road, Unit 3043 > University of Connecticut > Storrs, CT 06269-3043, USA > > Office Phone: 860-486-3156 > Lab Phone: 860-486-3937 > Cell Phone: 512-809-6217 > > Office:PBB 305C  Lab: PBB 317&319; ATW 232, 234, 236 > Lab website: https://ift.tt/3vWDg7n > > > "Bolnick, Daniel" > via IFTTT

[zeeshansid]

If you want to Merge Multiple NSF Files & Join Lotus Notes Archives, Contacts, and Emails, then watch this tutorial to merge two or more Lotus Notes NSF files into a single one.

[evoldir]

Fwd: Postdoc: UConnecticut.EvolutionaryBioinformatics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: UConnecticut.EvolutionaryBioinformatics > Date: 11 May 2021 at 08:26:00 BST > To: rdmpage@gmail.com > > > University of Connecticut: Postdoctoral researcher in evolutionary > genomics and transcriptomics > > A postdoctoral research position is available in Dr. Daniel Bolnickขs > research group (https://ift.tt/3vWDg7n), in the Department of > Ecology and Evolution at the University of Connecticut. The research > group studies the evolution of species interactions, adaptation, and > trait variation, merging expertise in ecology, genetics, and immunology, > with stickleback-cestode interactions as a dominant focus. In recent > years we have generated multiple large genomic and transcriptomic > datasets concerning gene expression responses to cestode infection, both > stickleback and cestode population differentiation, and QTL mapping. We > seek an individual with experience in bioinformatics relevant to > population genetic and/or transcriptomic analyses of genetic data, to > contribute to analyses and publications of existing data. Opportunities > exist to pursue side-projects along with the core project task. > > The position is funded by a NIH and NSF grant. > > The postdoc will join an ongoing NIH-funded project to use CRISPR/cas9 > gene editing of threespine stickleback to evaluate the phenotypic effect > of candidate genes on host immune phenotypes and resistance to cestode > infection. The postdoc may also begin work on a related question of how > cestode genotype affects infection outcome. > > Tasks: The postdoctoral researcher will conduct analyses of existing > population genomic and transcriptomic datasets and publish peer-reviewed > articles reporting results arising from these data. > > Duration: The position is currently funded for one year. The position > could extend longer, contingent on availability of additional grant or > fellowship funds, which the PI is actively applying for. The postdoc > should be able to start in summer or fall of 2021, exact dates to be > negotiated. > > Compensation: Starting salary will be $54,000, plus health benefits. > > Qualifications: Applicants must have a PhD in evolutionary > biology, genetics, computational biology, or a closely related > field. Prior experience with analyses of genomic or transcriptomic > data is essential. Expertise in population genetics is strongly > preferred. Previous research experience and publications should > demonstrate a commitment to basic research, good work ethic, computational > skills, organizational ability, and publication productivity. > > Applications should electronically submit a single pdf file containing > the following, in order: > 1)     A statement of past research achievements, including relevant >       skills (1-2 pages) > 2)     A statement of what you can contribute to the Bolnick Labขs >       research (1 page) > 3)  CV > 4)  A copy of two publications or submitted manuscripts. > > 3) A list of three references, with contact information (email, >   telephone, and mailing address). We will request letters directly >   from these references, after identifying top candidates. Please >   notify the references that they may be contacted by Dr. Bolnick for >   recommendations. > > An initial application should be emailed to Dr. Daniel Bolnick ( > daniel.bolnick@uconn.edu ), though applicants will eventually need > to also submit materials via the University of Connecticut job site > once the position is posted (URL to be determined, inquire from > Dr. Bolnick). Include the subject line "Evolutionary bioinformatics > Postdoc: ". Application review will begin on June 1 2021, > though late applications will be accepted until the position is filled. > > For questions about this position, please email Dr. Bolnick > (daniel.bolnick@uconn.edu). For information about the Bolnick Lab > visit the lab website (https://ift.tt/3vWDg7n ), lab > photostream (https://ift.tt/2w0fkqq), > and Dr. Bolnickขs Google Scholar page > (https://ift.tt/2UK8pdk). > > The University of Connecticut is an Equal Opportunity Employer. Applicants > with questions about disability services can privately discuss their > application with the University of Texas Disability Services Office > (https://ift.tt/2RdTfMH ).  A statement of BolnickLab values > can be found here: https://ift.tt/3jkxvK4 > > > > Dr. Daniel I. Bolnick > Editor-In-Chief, The American Naturalist > Professor, Ecology and Evolutionary Biology & Institute for Systems > Genomics > > daniel.bolnick@uconn.edu > > MAIL TO: > Department of Ecology and Evolutionary Biology > 75 N. Eagleville Road, Unit 3043 > University of Connecticut > Storrs, CT 06269-3043, USA > > Office Phone: 860-486-3156 > Lab Phone: 860-486-3937 > Cell Phone: 512-809-6217 > > Office:PBB 305C  Lab: PBB 317&319; ATW 232, 234, 236 > Lab website: https://ift.tt/3vWDg7n > > > "Bolnick, Daniel" > via IFTTT