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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 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed to have 70% clinical time, 15
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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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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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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
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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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Participate in teaching and supervision activities, in line with the candidate’s profile and interests The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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advanced scientific computational techniques and research related software packages an understanding of modern scientific computing tools, including high-performance and high-throughput computing
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using