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project on the detection of reovirus infection. We investigate how viral and host factor affect the exposure and accumulation of viral RNA in the cell and investigate the consequences of aberrant exposure
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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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accommodate the needs of outstanding candidates. The successful applicant will use a deep understanding of synthetic and photochemical transformations including laser characterization methods. Motivated
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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. Preferred Qualifications: The preferred candidate will have experience in all modern microbiological methods, and a strong interest in learning recombinant protein purification and associated biochemical
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modifiers. We study maternal obesity — a rapidly rising but modifiable CHD risk factor — and its convergence with non-canonical WNT/Planar Cell Polarity signaling. Using a clinically relevant high-fat-diet
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for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will
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state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different
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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and