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At the Department of Mathematical Sciences, faculty of Engineering & Science, at Aalborg University, we are looking for a postdoctoral researcher to join our group working on numerical methods
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full
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/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics and/or magnetohydrodynamics Radiative transfer in
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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of numerical methods for PDEs beyond their sole application - then please be informed that we are seeking a highly motivated postdoctoral researcher to join the group of Prof. Dr. Barbara Wohlmuth at the Chair
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competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Why work for the University
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transport phenomena. Scientific Background Numerical simulation of turbulent flows always involves a trade-off between accuracy and computational cost. Depending on the objectives, different modeling
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& Engineering, or a closely related engineering discipline, with strong emphasis on high-fidelity CFD Experience in advanced CFD solver development, algorithm improvement, and numerical methods for highly coupled
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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order