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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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program completion at BNL + 6 years’ relevant experience or; a technical high school certification program (e.g. BOCES) + 7 years relevant work experience or; 8 years’ relevant work experience. You are
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Knowledge, Skills, and Abilities: Bachelor’s degree with five (5+) years or a Master's degree with three (3+) years or a PhD degree in computer science or a related field (e.g., engineering, applied
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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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experience, or a Master's degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research
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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