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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
at Chapel Hill invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular simulations. This role will support innovative research at the intersection of Artificial
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life
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peacetime. Today, significant advancements in nuclear technology, autonomous weapons, artificial intelligence, remote sensing, cyber technology, hypersonic vehicles, additive manufacturing, stealth, precision
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Position Description Postdoctoral position in AI for Computational and Mathematical Biology–Qiu Lab Position Summary Postdoctoral researcher positions in Artificial Intelligence (AI
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health, artificial intelligence, and data science applications to healthy aging and caregiving Our Research Community The fellow will join an interdisciplinary consortium that brings together investigators
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to conduct extramurally funded research on topics at the intersection of bioethics, health policy and/or the health humanities. We have a special interest in individuals working in the field of Artificial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales