17 computational-science-"https:"-"https:"-"https:" Postdoctoral positions at Yale University in United States
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should have a Ph.D. in a relevant quantitative field (e.g. computer science, Bioinformatics, Statistics, Computational Biology, Statistical Genetics), a strong background in machine learning or
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Show all breadcrumbs Postdoctoral Associate — Bioinformatics and Data Science — Stites Laboratory Monday, August 18, 2025 Postdoctoral Associate — Bioinformatics and Data Science — Stites Laboratory
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Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute
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international conferences Required qualifications PhD in psychology, neuroscience, psychiatry, cognitive science, computational neuroscience, statistics, applied mathematics, or a related field Strong
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relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates/data (Link is external
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Computational Psychiatry Unit, led by Dr. Gu, is an integral part of the Center for Brain and Mind Health, The Wu Tsai Institute, and Departments of Psychiatry and Biomedical Informatics and Data Science
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Show all breadcrumbs Postdoctoral Associate Position in Biosocial Science (Human Chemosignaling) —The Human Nature Lab (HNL) Friday, October 31, 2025 Postdoctoral researcher position available for
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of Biomedical Informatics & Data Science (BIDS), Yale School of Medicine Job Description We seek full-time Postdoctoral Associates in the areas of highly efficient computational methodologies for
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computational postdoctoral fellow to lead core deep-learning work across surgical computer vision, multimodal fusion, and clinical translation. Project overview You will advance funded work that
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-impact problems in AI in medicine. Yale offers a strong interdisciplinary setting spanning informatics, computer science, and clinical medicine, as well as substantial computational resources and