43 computational-physics "https:" "https:" "https:" "https:" positions at Brookhaven National Laboratory
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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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Knowledge, Skills, and Abilities: Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, with a strong foundation in artificial intelligence and machine learning
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes advanced capabilities for studies of Nanomaterials in Operando
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of quantum computing and AI/ML in nuclear physics. The active permanent staff members are Yoshitaka Hatta, Dima Kharzeev, Yacine Mehtar-Tani, Swagato Mukherjee, Peter Petreczky (Group Leader), Rob Pisarski
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range
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National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more
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information at BNL | Benefits Program ORGANIZATION OVERVIEW The Condensed Matter Physics and Materials Science Division (CMPMSD) conducts a wide-ranging research program investigating novel and quantum