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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
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in relevant laboratory methods. Contribute to a safe, collegial, collaborative, and intellectually engaged laboratory environment. Anticipated start date: December 1, 2026, or a mutually agreed date
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, or mixed-methods research. • Experience working with community partners or stakeholder-engaged research. • Experience in population health or health equity/disparities research. Department Contact
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other underserved populations. · Experience in chronic disease prevention, particularly diabetes. · Qualitative or mixed-methods research experience. · Nutrition science, lifestyle medicine, and/or
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to address fundamental challenges in synthetic chemistry and biocatalysis. The successful applicant will use a deep understanding of organic and organometallic chemistry, combined with state-of-the-art methods
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Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research
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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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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