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Field
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: (1) Conducting high fidelity CFD simulations of combustion, heat transfer, chemical reactions, and phase change phenomena in industrial processes using commercial software. (2) Optimizing existing in
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical characterization of the developed materials and analyze
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
registered member of ABCP. Clinical pharmacology, in the broadest sense, encompasses drug discovery, clinical development, regulatory issues, therapeutic use and individualization of drug therapy, optimization
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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on these topics. Basic Qualifications Ph.D. in Energy/Environmental/Natural Resource Economics or related Applied Economics discipline with a strong quantitative focus. Experience with quantitative optimization
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simulation models to analyze, predict, and optimize water distribution networks. Engage in state-of-the art research on lithium supply chain dynamics, forecasting potential bottle-necks, and proposing
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engineering is considered a plus. The lab has routine access to Krios and FIB-milling instruments. 2) Genome editing: Projects involve developing novel genome editing tools and optimizing in vivo delivery
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). Designs experiments employing immunologic assays and GVHD/GVT models to evaluate invariant natural killer T cell function. Optimizes transgene delivery to engineer invariant natural killer T cells