30 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Brookhaven National Laboratory
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skills Preferred Knowledge, Skills, and Abilities: * Knowledge of both the theoretical fundamentals and applications of machine learning. * Experience working in multidisciplinary collaborations. * Strong
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of relevant 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
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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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ring lattices using the codes ELEGANT, BMAD, or MAD Some fundamental knowledge on machine learning, data science and related numerical tools, such as Scilearn-kit, PyTorch Preferred Knowledge, Skills
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Foundation for the State University of New York 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
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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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members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . Equal
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members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . Equal
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workplace experience while enrolled part-time in an affiliated college or accredited institution. Who Should Apply We welcome applicants who are motivated to learn and interested in technology. No prior work
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Optical Tomography [F. Glerean, et al. Light Sci Appl 14, 115 (2025). https:/doi.org/10.1038/s41377-025-01789-y ], a cutting-edge technique that combines pump-probe spectroscopy with quantum state