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, Computer Science, Applied Mathematics or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of
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record in machine-learning methods for computational physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is
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experience with: Reinforcement learning. Neuro-musculoskeletal modeling Knowledge of the following is a plus: Real-time programming (C++, Python) Real-time communication systems (e.g., EtherCAT, CAN Bus
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background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate within interdisciplinary
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis
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experimental work, has experience in polymer rheology and can implement constitutive models in Matlab or Python. Position 2 – Ply/ply and tool/ply friction during hot press forming Excessive friction between
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
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physics or in a closely related field. The ideal candidate has a strong interest in data analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle
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(e.g., R, Python) Project management and organization skills Proficiency in English at an academic level, including strong writing skills Skills for providing small-scale education, such as bachelor