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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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established international reputation and publication record. Strong scientific-programming proficiency for implementing computational models, simulations, and numerical experiments is desirable. Diversity
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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taught in person and on campus, in line with the HMC Academic Catalog and HMC Faculty Notebook. Potential resources for artists include the Makerspace, Media Art Project space, numerous labs and shops, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant
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stability assessment of converter-dominated transmission systems. The research combines power systems, numerical methods and scientific computing, with a strong emphasis on software development and practical
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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components requires precise operational constraints. This necessitates the development of optimized scenarios, capable of managing heat flow from the thermonuclear core to the divertor. Reliable numerical