68 engineering-computation "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Fellowship research jobs at Nature Careers
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The Air Force Science & Technology Fellowship Program (AF STFP) provides nationally competitive fellowship awards for postdoctoral and senior scientists. Selected individuals have the unique
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
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We are looking for highly motivated early-career postdoctoral scientists willing to conduct independent research in computational biology at Nantes University in France. Nantes University has
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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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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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the desire to make a meaningful impact? Mathematics & Computer Science - Postdoc Fellows E-STEEM Call 2026 174 Research Services and Career Development Startdate: 01.10.2026 | Working hours: 40 | Collective
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of resistant cell lines) and in vivo experiments using xenograft, syngeneic and genetically engineered mouse models of KRAS-mutant lung cancer. Candidates with prior experience in computational biology will
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on the training program can be found at https://theoceanfloor.de/en/The-Ocean-Floor/ECR-support.html . Ocean Floor Fellows will have the opportunity to contribute to the tailored training program of the Cluster. It
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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