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Apply Now Job ID JR101223Date posted 06/12/2024 Our group is part of the vibrant Condensed Matter Physics and Materials Science division with varied research groups studying both fundamental and
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leader of global particle physics experiments to explore the fundamental constituents of nature with ultimate precision and to discover phenomena that signal physics beyond the Standard Model. A permanent
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finishing high-curvature X-ray mirrors. o Enhance the determinism (predictability) of the IBF process by leveraging artificial intelligence or machine learning (AI/ML). • Publish results in peer-reviewed
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Apply Now Job ID JR101077Date posted 04/08/2024 The Nuclear and Particle Physics Software (NPPS) Group in the Physics Department at BNL participates in BNL’s nuclear and particle physics experiments
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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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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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or closely related discipline Required knowledge, skills, and abilities: - Knowledge of ASIC design process and flows - Knowledge of ASPIC design process and flows - Familiarity with PDKs and CAD/EDA
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QIST group centered in our Instrumentation Division and working in close collaboration with the QIST group at Stony Brook University and the Atomic and Molecular Physics (AMO) group at Columbia
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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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, skills, and abilities: - Graduate degree in an electrical engineering or closely related discipline - Knowledge of ASIC design process and flows - Familiarity with PDKs and CAD/EDA tools for ASIC design