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information at BNL | Benefits Program This is a joint position between the National Synchrotron Light Source II and the Condensed Matter Physics and Materials Science department, which plans to develop new
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information at BNL | Benefits Program The Chemistry Division (http://www.bnl.gov/chemistry) of Brookhaven National Laboratory (BNL, http://www.bnl.gov) seeks a postdoctoral Research Associates to join the newly
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systems. Essential Duties and Responsibilities: Develop and implement artificial intelligence (AI) and machine learning (ML) techniques for power system planning, operation, control, and cybersecurity, with
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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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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
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experience in lattice Quantum Chromodynamics (QCD) or related perturbative calculations. Proficient in and knowledge of lattice quantum field theory. Ability to prepare and deliver oral presentations, as
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for this position is $71900 - $80000/ year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. Brookhaven National
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the final candidate's qualification, education and experience and considered with the internal peer group. Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL
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reliable operation of the Rapid Cycling Synchrotron (RCS), Electron Storage Ring (ESR), and Hadron Storage Ring (HSR). The researcher will develop and analyze impedance models, perform high-fidelity beam
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, equitable and competitive compensation. The full salary range for this position is $71900 - $80000 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience