1,032 computational-physics-"https:"-"https:"-"https:"-"https:"-"INRAE" Postdoctoral positions in United States
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performing experiments, analyzing data, and assisting in the dissemination of results through publications Required License/Registration/Certification n/a Physical Requirements Moving and lifting object from
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of infection, and be comfortable and knowledgeable regarding work with HIV. This individual will also be expected to expand and develop these areas of interest in the process of further defining this unique
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, United States of America [map ] Subject Area: Quantum Computing / Quantum Computing Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description
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to have an opening for a Postdoctoral Associate in numerical relativity starting in September 2026. The position requires a Ph.D. and experience in numerical relativity or computational physics
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Position Summary Working on research program centered on unraveling the intricate molecular mechanisms that govern DNA repair and replication, with a particular focus on nick sealing processes by human DNA
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extraction or coordination chemistry. Experience in hydrometallurgical process development, including leaching, purification, and crystallization stages. Experience working with rare earth elements and
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samples and characterize dynamic behaviors. The candidate will be part of a highly collaborative team and actively interact with other groups, including optics, computation, and time-resolved research
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days 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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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key