86 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Duke University
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and
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investigators in nutrition science, and related fields. Present research at internal seminars and national conferences. Contribute to mentoring work-study students. Support and contribute to the preparation
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The research will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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The research will be studying skeletal muscle biology and function in regulating other tissues, using cellular, molecular, and model animal (transgenic mice) approaches. Specifically, the postdoctoral research
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information science. The position involves designing, executing, and analyzing experiments that explore atomic-photonic interactions and advanced quantum gate operations with trapped atomic ions. The successful
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects
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for international candidates: Generally, immigration classifications (e.g., H-1B, J-1, etc.) require that the requisite degree be conferred before a petition can be filed or a visa document issued to
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal