34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Brookhaven National Laboratory
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/keyboard for extended periods is essential. Ability to concentrate on accuracy. Compensation: Brookhaven Laboratory is committed to providing fair, equitable, and competitive compensation. The full salary
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in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. At Brookhaven National Laboratory we believe that a comprehensive employee
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Brookhaven Site Office (BHSO). Support Contractor Assurance and the Laboratory's Enterprise Risk Management process. Promote operational excellence and foster a learning and improvement culture. Additional
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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 | Opportunities
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research
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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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, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
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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