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metabolomic datasets to discover novel metabolites associated with human disease, genetics, and dietary exposures. The candidate will lead computational analyses of these datasets, using the laboratory’s suite
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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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researchers to advance the evaluation, translation and transfer of the state-of-the-art dynamical models results. This effort will lead to the creation and distribution of data products of value to key NOAA
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