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based on two first-of-their-kind NION scanning transmission electron microscopes. In this postdoc position, you will be a member of the Electron Microscopy group and be mentored by scientists at CFN
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scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) Large Language Model (LLM) and Reasoning Language Model (RLM) for science and
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, and Abilities: A PhD in physics, engineering, or a related field. At least 10 years of experience with research in superconducting magnet technology. At least 6 years of management and leadership
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) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab
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on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation
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senior ASIC designer for developing Monolithic Active Pixel Sensors (MAPS) - based Silicon Vertex and Tracking (SVT) detector technology for the collider experiments such as lepton-lepton Future Circular
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and imaging x-ray tools, supported by computational resources for high-throughput analysis and modeling. The program’s scientific focus is to understand and optimize the structural and chemical features
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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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Abilities: Experience with topological quantum materials High pressure processing including spark plasma synthesis Experience with dilution refrigerators Synchrotron based materials characterizations
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scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially