71 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "UCL" Fellowship research jobs at Nature Careers
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical
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Funding Notes The position is launched under TÜBİTAK’s 2232-B Program call. It is aimed to promote young researchers under the age of 40 who have come to the fore with their high-level science and
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Academy (USAFA) , and the U.S. Space Force (USSF) . This program offers high-quality research opportunities, aiming to foster innovation and technological advancement within the Air Force through
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Employee assistance programme: Staff Support Service Discounted medical insurance Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity
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access, and outstanding research infrastructure across its faculties. The Fellowship programme offers up to 20 full-time 4-year positions with structured career development.Fellows will benefit from
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The Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), a research component of the National Institutes of Health (NIH), Department of Health and Human Services (DHHS) has
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Funding Notes The position is launched under TÜBİTAK’s 2232-A Program call. It promotes qualified researchers who have come to the fore with their high-level science and/or technology-oriented
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The Jiang Lab (https://labs.icahn.mssm.edu/jianglab/) at the Icahn School of Medicine at Mount Sinai, New York is seeking a highly motivated postdoctoral fellow with expertise in genome editing
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro