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production; to further develop and calibrate algorithms for tagging boosted Higgs boson decays; to explore novel applications of machine learning to particle physics data analysis and detector hardware; and to
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. Minimum Qualifications PhD upon hire. The successful candidates will have a strong record in physics data analysis, calibration/combined performance, and applications of machine learning techniques
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potential environmental contamination from naturally occurring and legacy human activity (such as mining), (2) the analysis of large datasets using machine learning and related frameworks, (3) systematic
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on topics including molecular clouds and star formation. Candidates with experience in machine-learning and magnetic field observation/simulation are particularly welcome to apply. Experiences with (sub-)mm