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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
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and uses these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. Brookhaven employees are subject to restrictions related
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candidate’s qualification, education and experience and considered with the internal peer group. Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent
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wide range of material parameters. The CFN develops and utilizes advanced capabilities for studies of Nanomaterials in Operando Conditions for characterizing materials and reactions at the atomic scale
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access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access
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these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing
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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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Physics, Computer Science, Material Science, or related discipline. • Demonstrated expertise in scattering or imaging methods, or simulations of wavefront propagation. • Demonstrated experience in