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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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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s