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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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programming, e.g., in Python, PyTorch, TensorFlow, or similar. Curiosity and willingness to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information
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programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial
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techniques is an advantage, and experience in human pain research is a prerequisite. An opportunity to learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up