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of automotive engineering. Design, testing, and evaluation of vehicle components and systems. Application of numerical methods (FEM, MBS) to analyze static and dynamic load states. Execution of experimental
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, crop production and plant breeding. A core responsibility will be the rigorous processing, analysis, and interpretation of large and complex datasets and, in collaboration with the FEM research community
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
of refrigerants superelastic shape memory alloys (mechanical, thermal, fatigue life) Modelling, design and characterization of test structures and devices (FEM multiphysics, lumped element modelling) Rapid
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mechanics, numerical methods (BEM and FEM) computing skills (e.g. C++, Python, ... ) good knowledge of the English language Admission Requirements Engineering diploma (Dipl.-Ing.), Master of science (M.Sc
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; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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, or multi-physics simulation. Experience and skills · Ideally 3–5 years of experience (including PhD) in one or more of the following: o Finite Element Modelling (FEM), o Multiphysics
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skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
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material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
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qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN