1,105 computer-science-"https:"-"ESPCI-Paris---PSL" "https:" "https:" Postdoctoral positions in United States
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: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Management and Organizations Sociology / Computational Social Science
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real-world settings. Robert Kraut, Haiyi Zhu, Sherry Wu, and Yi-Chia Wang in the Human-Computer Interaction Institute at CMU and Diyi Yang in the computer science department at Stanford University
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and
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of 2026. A new collaboration between Argonne National Laboratory, the University of Notre Dame, and the University of Illinois at Urbana-Champaign supported by Quantum Information Science Enable Discovery
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling
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Duke University, Biomedical Engineering Position ID: Duke-BME-DUKEMCINTYRE [#31369] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 36 minutes ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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QUALIFICATIONS: Individuals with thorough working knowledge of molecular, stem-cell biology, biochemistry, and/or genetics are strongly encouraged to apply Strong computational skills is a plus Effective written
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publication record in immunology/epigenetics. Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Please also read recent
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, we invite scientists with a strong background in physics, computational neuroscience, engineering, applied math, systems biology, or other relevant quantitative fields. Previous experience in