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of machine learning applied to a wide range of phenomena. We seek candidates who can work effectively in a team environment and who are prepared to contribute to our commitment to diversity and inclusion in
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diagnostics, genome design, and cellular design and engineering. New approaches that incorporate evolution, selection methods, machine learning, and artificial intelligence are also of interest, as are methods
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, computer scientists, and policy experts. The postdocs will work with Prof. Daniel Loveless on various areas of research, including radiation and reliability effects in emerging semiconductor technologies
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