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-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments
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, the University of Notre Dame, and the University of Illinois at Urbana-Champaign supported by Quantum Information Science Enable Discovery 2.0 (QuantISED 2.0) including Clarence Chang, Tim Hobbs, Dafei Jin, Yi Li
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of High Energy Physics Demonstrated excellence in physics analysis, including data analysis, statistical interpretation, and
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