103 computer-programmer-"https:" "https:" "https:" "UNIV" Postdoctoral positions at Cornell University in United States
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Postdoctoral Associate, Computational - Yu Lab, Weill Institute for Cell and Molecular Biology hold a recent Ph.D. in computational biology, bioinformatics, computer science, or a closely related field by
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implement active learning techniques in larger courses (no more than two per semester), participate in the college-wide ALI program, including attending weekly ALI fellows’ meetings and facilitating ALI
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Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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Bucks New York (DUFBNY): In partnership with the Field and Fork Network, we evaluate the implementation of DUFBNY where households with Supplemental Nutrition Assistance Program (SNAP) benefits receive
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candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS
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assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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the CTECH Postdoctoral Fellows Program. This position offers a unique opportunity to work at the forefront of computational transportation science, AI-enabled mobility modeling, urban analytics, and cloud
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical