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support collaborative projects. Publish research findings in peer-reviewed journals and present work at scientific workshops and conferences. Design and implement scalable AI/ML optimization algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 8 days ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as
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algorithms to severe weather prediction Proficiency in C++ and experience running simulations on GPU-based systems Familiarity with convection-permitting models such as E3SM and ERF Job Family Postdoctoral Job
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on cutting-edge research projects involving design, analysis and implementation of advanced numerical methods and algorithms in interdisciplinary applications. The position includes the possibility
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importance in quantum materials research. While practical quantum applications typically require stable quantum bits with long coherence times, this research proposes innovative programmable algorithms
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relevant technical software, such as Cadence, SPICE, Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but not required • Collaborative skills, student mentorship
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will contribute to high-impact projects, including: 1. Developing and validating algorithms that extract data from the Epic EHR (e.g., large language models) via comparison with manually extracted data