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on Aging (NIA) and includes an experience sampling methodology (ESM) study of daily cognition and social interactions in older adults, as well as multi-method data collected from the Minnesota Twin Registry
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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