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Field
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the nexus of AI, operations research and decision making and their applications to workforce policy and reskilling. The project builds on ongoing work using optimization-based models to predict future skill
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. Mentor and support junior lab members, including research technologists, students, and trainees, and contribute to a collaborative lab environment. Special Skills, Knowledge, and Abilities: Strong
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, collaborative meetings, and scientific conferences. Mentor junior lab members and contribute to a collaborative wet-dry lab environment. Special Skills, Knowledge, and Abilities: Strong background in quantitative
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capabilities in support of dramatic advances in our understanding of the physical world and using that knowledge to address the most pressing national and international concerns. It delivers leadership- class
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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structural findings with biochemical and genetic data to define mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our
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controlling the entire image chain, from modeling the acquisition system to specific knowledge of the application domains. Another common point of much of the research carried out by the team is the use