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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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Required Knowledge, Skills, and Abilities: PhD in Accelerator Physics or a related field In-depth working knowledge of accelerator design codes such as BMAD, MADX, or ELEGANT Working knowledge of programming
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in
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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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. Other Information: Candidates must have received a Ph.D. by the commencement of employment. This is a 2-year term appointment BNL policy requires that after obtaining a PhD, eligible candidates for
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-loss-spectroscopy is highly desirable. - Demonstrated quantitative data analysis abilities. - Effective communication skills. BNL policy requires that after obtaining a PhD, eligible candidates for
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funding. Please contact Nak Hyun Kim (nkim@bnl.gov ) if you have any questions. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a
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annual renewal contingent on performance and funding. Please contact Jorg Schwender (schwend@bnl.gov ) if you have any questions. BNL policy requires that after obtaining a PhD, eligible candidates for
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. Molecular tools include mass spectrometry, protein chromatography, biochemical methods to study protein phase separation. The candidate will benefit from state-of-the-art research facilities at BNL, including