39 computer-engineer "https:" "https:" "https:" "Universidade do Minho ISISE" Fellowship research jobs at Nature Careers in United States
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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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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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other cancers, brain cancers are stubbornly resistant. The College of Pharmacy and the Watson Lab is recruiting a computational postdoctoral fellow to help crack this problem using the latest approaches
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Postdoctoral Research Fellow - Computational Biologist Dana-Farber Cancer Institute Boston, MA Full Time Overview The Collins Genomics Lab at Dana-Farber Cancer Institute seeks a POSTDOCTORAL
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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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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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and state-of-the-art genetically engineered mouse models. Information about the postdoctoral training program and benefits can be found at http://www.utsouthwestern.edu/postdocs . Interested individuals
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applicants to join us and experience what it means to be part of Mass General Brigham. The DeKosky Laboratory for Immune Engineering and Drug Discovery is hiring a researcher to advance computational drug
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benefit from participation in the UT Southwestern Postdoctoral Training Program. Information on our postdoctoral training program, benefits and a virtual tour can be found at http://www.utsouthwestern.edu
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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