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77843, United States of America [map ] Subject Areas: Physics / Atomic, Molecular, and Optical Physics , Biophysics , Experimental Ultrafast Physics , Metrology , Optics and Photonics , Quantum Computing
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
coupled historical and scenario climate simulations; and 4) the development of an emulator for sea ice model physics. The work is part of a larger project, M2LInES, covering eleven institutions
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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, Nuclear Physics, or a related field. Ph.D. candidates nearing completion are also encouraged to apply. Backgrounds in experimental, theoretical, and/or computational research; candidates from all areas will
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing
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. Contribute to the development of new research proposals. Requirements Ph.D. in Computer Science, Physics, or another Quantum Information related field. Capacity for excellent research, as demonstrated by
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, evolution, ecology, biology, psychology, economics, computer science) or engineering completed by start date Demonstrated academic excellence and research experience, especially published peer-reviewed papers
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created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees. Benefits for Research