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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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; You will participate in collaborations in materials optimization, device fabrication, and testing. Required Knowledge, Skills, and Abilities: You earned a Ph.D. in an appropriate discipline (Physics
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. Work with NSLS-II automation team and engineering support staff to develop the next generation of robotics and sample preparation protocols for XCFS. Optimize crystallization systems for XCFS campaigns
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dose Support the development of machine protection strategies through radiation environment modeling Collaborate with magnet, vacuum, and shielding engineering groups to evaluate and optimize design