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with undergraduates, graduate students, postdocs, and professors in the two labs. Candidates with geoanalytical experience, including backgrounds in either cosmogenic nuclide geochemistry or XRF
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the specialized subareas of machine learning, software engineering, and systems (databases, networking, etc.). An understanding of digital forensics or network forensics is a plus. Ability to work with a minimal
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