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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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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
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: As an experimental research position, the primary working mode should be on-site. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed
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NSLS-II beamlines within and outside the Spectroscopy Program that offer complementary techniques or capabilities Required Knowledge, Skills, and Abilities: PhD. in Physics, Chemistry, Materials Science
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offer complementary techniques or capabilities. Required Knowledge, Skills, and Abilities: PhD. in Physics, Chemistry, Materials Science, or other relevant fields with at least 6 years' experience in
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of staff within the Laboratory, including Senior Leadership. Preferred Knowledge, Skills, and Abilities: PhD in Physics, Engineering or related field. Demonstrated expertise by way of participation