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significant impact, both on the flow and on the reflection of acoustic waves at the ground. Predicting wind turbine noise therefore relies on numerical simulations. Numerous numerical methods have been
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challenges. Firstly such process is of a multi-physics nature and requires coupling of different numerical methods: the deformation in SFCs is dominated by shear flows, and typically solved using fluid
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(or traveling) waves - Functional minimization - Numerical discretization methods for PDEs - Numerical simulations of PDEs The application should include: - A detailed CV describing the candidate's academic and
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Estatal de Investigación Científica, Técnica y de Innovación para el período 2021-2023" with reference PID2023-146793OB-100. The Group of Numerical Methods in Engineering (GMNI) is developing a line of
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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The Modelling & Theory Group (GMT) at SPEC is seeking a permanent researcher in the area of condensed matter theory, with a focus on numerical methods in nano- to mesoscopic quantum physics. Job
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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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in the numerical modeling of crack initiation, crack propagation and fracture in CCAs prospective for hydrogen applications, which will be performed by finite element method (software Ansys) and
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
, astrophysics, or a related field. Experience with numerical methods and scientific programming in Python, Fortran, C, or similar languages. Experience with turbulence, rotating flows, convection