12 postdoctoral-machine-learning "https:" positions at 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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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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to an advanced Laboratory Directed Research and Development (LDRD) project, "Machine Learning Steered EXAFS Fitting for Autonomous XAS Analysis," aimed at revolutionizing real-time analysis of X-ray Absorption
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. Please apply at https://bnl.wd1.myworkdayjobs.com/Externa/job/Upton-NY/Postdoctoral-Researcher-in-Quantum-Algorithms-and-Quantum-Information-Science-for-Quantum-Field-Theoretic-Applications-to-Condensed
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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 for Veterans at Brookhaven National
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, JR102187] Position Title: Position Type: Postdoctoral Position Location: Upton, New York 11973, United States of America Subject Areas: Condensed Matter Physics / Quantum Condensed Matter Theory , Quantum
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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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information at BNL | Benefits Program JOB DESCRIPTION: We are looking for a Postdoctoral Research Associate in theoretical condensed matter physics, with interests including but not limited to: exotic phases
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disciplinary boundaries, notably the Co-Design Center for Quantum Advantage (C2QA) at BNL. The postdoctoral researcher is expected to conduct original research, disseminate results by writing manuscripts and
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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