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Field
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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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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 | 4 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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to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow
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for: Designing optimization-based decision-making frameworks for zero-emission vehicles and charging infrastructure. Analyzing theoretical guarantees of these frameworks using tools from optimization, dynamical
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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