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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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molecular, biochemical, and behavioral manifestations. We have collaborations with other labs that enrich the overall research experience. QUALIFICATIONS Applicants must have PhD and/or MD (or equivalent
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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from the NIDDK and focuses on investigating the role that T1D risk variants play in islet autoimmunity through advanced single-cell techniques. The lab seeks an independent, highly motivated PhD-level
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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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to PhD students and other early-career-scholars on the research team. Support the team with data cleaning, project management, and grant submission tasks as needed. Other tasks include various writing and
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The Department of Medicine at the University of Virginia is seeking a Postdoctoral Research Associate to work in the laboratory of Dr. Jeffrey Sturek, MD, PhD. The Sturek Laboratory is an exciting
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of renewal contingent upon satisfactory performance and the availability of funding. Minimum Qualifications: Education: PhD, MD, or equivalent degree is required at the start date. Experience: The ideal