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, or translational oncology. Experience with flow cytometry, immune co-culture assays, drug-response assays, engineered cell models, organoids, patient-derived models, or animal models. Familiarity with antigen
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and supporting a collegial and inclusive team culture. For more about our laboratory, visit: https://sites.duke.edu/franzlab/ Appointment details: • Start date: October 2026 (flexible) • Duration
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disorders, with a particular emphasis on glycogen storage diseases (GSDs), including GSD type II (Pompe disease). The postdoc will contribute to advancing understanding of the natural history of GSDs and
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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and
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research in engineering and science related to critical minerals. This position will contribute to building interdisciplinary excellence and research pathways in critical minerals research at Duke University
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issued to sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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likely. The postdoc will provide resources, and assist in the development of deliverables for the projects. This position will be expected to participate in project leadership and management, writing
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software. Demonstrated experience contributing to manuscripts, scientific abstracts, reports, or grant applications