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Field
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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
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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be the nation’s leading public
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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to the development and optimization of strategies for proton polarization using DNP techniques for structural analysis. Publish scientific papers resulting from this research and present results at appropriate
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Biosciences Research Laboratories, in close proximity to the state-of-the-art Biopharmaceutical Innovation & Optimization center, Higuchi Laboratories Animal Facility, Multidisciplinary Research Building, and
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. Some of the scientific questions that motivate our work are How do different regions of the brain interact to learn new motor skills? What are the neural mechanisms underlying optimal performance in
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in mouse models of disease. Administer bacterial treatments, monitor mouse health, and collect biological samples (e.g., blood, tissue) for analysis. Optimize protocols to ensure reproducibility and
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms