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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a
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of this position is to ensure that the Cleanroom & Nanofabrication Facility operates efficiently while maintaining the highest standards to optimize the research productivity and educational opportunities for BC
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optimization, numerical linear algebra, partial differential equations, inverse problems, and large-scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical
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Louis Lions. - Design and implement innovative methods for the numerical solution of wave propagation problems within the FreeFEM software, using high-performance computing - Optimize the code
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record of achieving measurable financial performance improvement, cost optimization, and operational efficiency. Demonstrated success leading organizational change initiatives and driving cross-functional
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this question using a numerical approach: [Karashabyeva 2025] proposes a topological optimization for a steady-state heat transfer case, while [Alpar 2024, Alpar 2025] addresses shape optimization in both steady
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms