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consistent with the topics of the Scientific Disciplinary Sector (S.S.D.) in the field of Operations Research. A strong scientific background in numerical optimization is required, including non-smooth and non
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them as programmable resources for encoding, transporting and processing quantum informa- tion. AI is employed not merely as a numerical optimizer, but as a framework for discovering control protocols
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the broad area of structural 3D printing (metals, concrete, and composites) and advanced manufacturing. Computational mechanics and structural topology optimization Vision-based structural health monitoring
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. Web performance, accessibility, and multilingual Web experiences. Mobile and networked systems. Measurement-driven design of more equitable Internet infrastructure. AI-assisted optimization of Web and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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of plastic materials through hot and high-strain-rate compression tests, as well as studying the optimization of plastic deformation processes through numerical simulation. The main goal will be to identify
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represent dynamical systems, how their stability and robustness can be characterized, and how controllers can be designed for them. Your work will combine rigorous theory, numerical methods, and applications
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration