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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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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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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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to analyze and optimize data storage interactions and computing activities. Required Knowledge, Skills, and Abilities: Bachelor’s degree in physics, computer science, or a related discipline or equivalent
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, following lab safety standards and national safety and equipment codes. Collaborate with technical experts designing superconducting magnets and RF cavities on requirements, interfaces, and the optimization
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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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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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demand maintenance and repairs as necessary to keep the plant operating at optimal efficiency. Perform daily chemical test analysis of all operating systems such as boilers, water softeners, feedwater, and
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized