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for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and
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National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the U.S., New York State, Long Island. We have a lively, fast-growing data science research program at BNL, with a specific focus
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we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program Supported by
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, utilizing the world-leading expertise in X-ray imaging at NSLS-II and in collaboration with the researchers at the Center for Functional Nanomaterials (CFN) and the Computational Science Initiative (CSI
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, and Abilities: * Ph.D. in computer science, physics, material science, or related discipline * Demonstrated expertise in 3D tomography and quantitative image data analysis * Demonstrated experience in
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, clouds, precipitation, radiation, and atmospheric dynamics; the Atmospheric Systems Research Program; and the Environmental Systems Science Program. This work is pursued with the ultimate goal of improving
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we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program The Cold QCD Group
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team of scientists from NSLS-II, CFN (Centers for Functional Nanomaterials), CSI (Computational Science Initiative), and IO (Instrumentation Division), plus other postdoctoral researchers who are working
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of radiation detector or high-energy particle detectors Demonstrated experience in data analysis in scientific research and engineering development. Proficient computer skills: Microsoft Windows, Microsoft
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National Laboratory hosts several departments and facilities that will be collaborating in this program: Condensed Matter Physics and Materials Science Department, which has a strong tradition in quantum