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computing (HPC) environments Turbulence modelling and numerical methods Control theory and flow control Linux, version control (e.g., Git), and LaTeX Excellent academic results are also considered a
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Position Description The Faculty of Mathematics and Natural Sciences, Department of Mathematics, invites applications for a Full Professorship (W3) for “Numerical Analysis for Partial Differential
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, international team working on developing experimental and numerical methods for wind turbine aerodynamics. The particular areas of responsibilities include: Modelling of rotor aerodynamics with both low
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systems challenges, including flooding, resilience, and water quality. Job Description: The Postdoctoral Researcher will serve as a numerical modeler and programmer within the coastal systems modeling
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candidate must therefore hold a master's degree in physics and have an interest in biophysics. Skills in numerical methods and/or in-vivo imaging would be a significant plus. This Ph.D is part of an ANR
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& simulator platforms [Numerical & Computational Methods] - Dynamical Mean-Field Theory (DMFT) and Density Functional Theory (DFT) - Density Matrix Embedding Theory (DMET) - Density Matrix
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or more of the following: Numerical methods for ordinary and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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understanding of sodium-ion batteries - developing and applying mathematical and numerical methods for analyzing complex electrochemical processes - close collaboration with the
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working on developing experimental and numerical methods for wind turbine aerodynamics. The particular areas of responsibilities include: High and low-fidelity modelling of wind turbine airfoil and