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Description: Apply Position Description Position Description Department of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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. The Ur-BIOME Research Program at Duke University, led by Dr. Nazema Siddiqui in the Department of Obstetrics and Gynecology’s Division of Urogynecology, is seeking a highly motivated Postdoctoral Fellow
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, metabolomics, and potentially other omics layers using high-performance computing environments. • Perform raw data processing, quality control, multi-modal data integration, and downstream analyses across
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analysis tools Experience in machining learning methods in omics analysis Experience with high-performance computing and cloud-based analysis platform Previous experience in grant writing and manuscript
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
within the scope of research and policy projects at Duke University. Primary responsibilities include conducting health policy-focused background research, drafting summary documents, performing literature
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The Jayasundara laboratory seeks a highly motivated postdoctoral researchers on projects related to the toxicological effects of environmental contaminants and heat exposure. The Jayasundara laboratory studies
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% Grant Funded Postdoctoral Position in Influenza Virus Pathogenesis. Position is for one year with extensions contingent on continued funding, performance, and needs of the lab. The Heaton Laboratory has