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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM) on the topic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an
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researcher will conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their
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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental
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research and developing decision support systems. The candidate would also assist in writing python/R programming scripts to optimize processing time, making the current decision support systems more
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interdisciplinary teams. Preferred Knowledge, Skills, and Abilities: Experience scaling machine learning training and/or inference on multi-node HPC systems. History of implementing, adapting, or optimizing machine
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milestones related to data collection, analysis, and reporting. Community Engagement & Translation Develop and execute community engagement strategies, integrating local knowledge into energy system decision
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, co-simulation, or hardware-relevant environments. Primary Responsibilities: Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER