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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 31 minutes 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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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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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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Responsibilities Research: - Conduct research in AI reasoning, semantic modeling, and knowledge graph development. - Develop and optimize graph databases for structured knowledge representation. - Apply neural
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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
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activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach
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of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and
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studies.The successful candidate will work on cutting-edge research involving viral and their invitro and invivo interactions . The primary focus will be on optimizing viral vector systems, understanding
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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another in artificial social networks. Some experiments will employ a human-in-the-loop approach (Harrison et al., 2020) to optimize environment parameters dynamically. The postdoctoral associate will