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, United States of America [map ] Subject Areas: Computer Science / AI/ML/DL Theory , Applied Math/Optimization , Artificial Intelligence, Machine Learning, Large Language Models , Artificial Intelligence/Machine Learning
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work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven National Laboratory is
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career in Project Management Description of your preferred learning methods and approach to professional development Summary of your proficiency with computer applications, including Microsoft Excel and
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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time associated with family planning, military service, illness, or other life-changing events. This position is based at Upton, NY, but may involve a temporary assignment of approximately 3–6 months
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on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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to 1) digital twin technologies; 2) complex multiscale simulations and modeling; 3) large-scale hybrid machine learning and high-performance computing workflows; 4) tools and methods to allow productive
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. You will conduct systematic studies of machine-learning models. You will report clearly on systematic results. Required Knowledge, Skills, and Abilities: Must be a college or graduate student enrolled
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for this position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in collaboration with Brookhaven Lab staff, the Department of Energy (DOE), and