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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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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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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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