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the Department The Saint Anthony Falls Laboratory is a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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physics , Condensed Matter Experiment , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics
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academically driven student-athletes for the program. The head coach coordinates program activities, internal and external appearances, and competitions. The head coach is also responsible for promoting UT Tyler
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the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic
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Deadline 23 Jan 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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dispersive equations, completely integrable PDE, and fluids. Applicants are required to have a strong background in analysis and PDE. Experience with probabilistic and/or computational aspects of nonlinear PDE
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Engineering or a closely related discipline. You will have demonstrable experience in one or more of the following areas: Finite Element Analysis, Computational Fluid Dynamics, Discrete Element Method, Multi
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods