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other software tools Develop, test and implement data pipelines Required Knowledge, Skills, and Abilities: Required PhD in geosciences, computer science, engineering or related field Proven research
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offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. BNL policy requires that after obtaining a PhD, eligible
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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
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policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D
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that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding
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the internal peer group. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post
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group. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or
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immediately. Applications will be accepted until the position is filled. Research under the direction of Dr. Chang-Jun Liu. BNL policy requires that after obtaining a PhD, eligible candidates for research
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a high level of interaction with an international and multicultural scientific community. Essential Duties and Responsibilities: Learn to operate the Booster and AGS to perform beam studies with
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on power system dynamics and control under high inverter-based resources (IBRs). * Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation