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science, physics, mechanical engineering, applied math, theoretical neuroscience, or statistics. In depth experience with control theory and machine learning for analysis of neural population data. Experience with
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) research. About Computing Sciences at Berkeley Lab: Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis to massive datasets, scientists today rely
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-of-the-art quantum processors and paving the way for scalable quantum computers. This project will involve theoretical and numerical analysis of Rydberg mediated interactions of a single atom with a micro
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. Can read schematics, sketches, and component layouts. Color vision adequate for identifying wiring and safety indicators. Physically able to climb stairs and lift up to 50 lbs (23 kg). Good
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computer science and high-performance computing (HPC) research. About Computing Sciences at Berkeley Lab: Whether running extreme-scale simulations on a supercomputer or applying machine-learning or data analysis
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scientific discovery through high performance computing and data analysis for the DOE Office of Science programs. NERSC provides critical HPC and data systems and support for NERSC's 11,000 users researching
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systems and GPU-accelerated processing. Proficient in computing languages for software/hardware integration, data analysis, networking; specifically, Python and C/C++. Proficient with Linux computer systems