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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research fellow will be responsible for conducting theoretical and numerical studies
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
and enjoy 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
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the thermal catalysis and its
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. Numerical simulations will be performed on high-performance computing (HPC) infrastructures Where to apply E-mail dima@cert.uniroma1.it Requirements Additional Information Eligibility criteria up to 50 points
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will focus on diffuse interface models based on the Navier–Stokes–Korteweg equations. Activities include the study of droplet and bubble dynamics in multiphase flows. Numerical simulations will be
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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eólicas flotantes. Laboratory experiments and Computational Fluid Dynamics simulations—particularly using the Smoothed Particle Hydrodynamics (SPH) numerical technique—of the sloshing phenomena occurring
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on the numerical modeling results. Physical Oceanography, 27(4), 352–363. https://doi.org/10.22449/1573-160X-2020-4-352-363 Sokolov, A., Chubarenko, B., 2024. Baltic Sea wave climate in 1979–2018: Numerical