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inference and change point detection. The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms
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issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
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Abilities: Experience with topological quantum materials High pressure processing including spark plasma synthesis Experience with dilution refrigerators Synchrotron based materials characterizations
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tools, including polarization and resonant extraction. Duties involve the adaptation of modern Machine Learning techniques to accelerator modeling and operation. Duties will include preparing, performing
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Synchrotron (RCS). This role offers an opportunity to make key contributions to the safe, reliable, and efficient operation of one of DOE’s flagship accelerator projects. Essential Duties and Responsibilities
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your application. Reference letters may be requested via an electronic submission process as your candidacy is considered. The position is currently limited to 2 years and may be renewed for one more
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: Ph. D in physical chemistry or a related field and 4+ years of post-PhD relevant experience. Experience in radiation chemistry, photochemistry and familiarity with electron transfer theory
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students for every session throughout the workshop, including ensuring students arrive on time and stay online throughout each session. Serve as the first point of contact to answer technical questions (via
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world-class program that advances the state of the art in artificial intelligence, high performance computing, applied mathematics, computer and computational sciences. BNL's distinctive domain science
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studies and computer simulations Collaborate with the BMAD development team at Cornell University by implementing new features into the code Participate in the EIC design effort in a more general sense