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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
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, genomics, bioinformatics, microscopy, NMR, X-ray crystallography, cryo-EM, flow cytometry, metabolomics, lipidomics and proteomics are readily available on campus. Substantial resources for field-based
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vivo human tissue studies and in vivo rodent modeling. Expertise in human genomics, biology of neuronal and glial cell types, and computational and bioinformatic skills required for genomics data
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