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Field
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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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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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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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, 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 | 3 days 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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). 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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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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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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)parameter optimization through cross-validation. Observational research methods including interpreting multivariate regression, missing data imputation, propensity score matching, and bootstrap simulations