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skills (Matlab/Python coding, user-defined FE routines, …), o theoretical (mechanical) analyses, o microstructure-based simulations (using experimental microstructures) o materials and microstructure
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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engineering disciplines, including structural mechanics, hydrodynamics and machine learning Strong programming skills in Python and/or MATLAB Experience with scientific computing, CFD/FEM software, potential
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and/or hydraulic laboratories Experience with experimental research and data analysis Analytical and programming skills for scientific computing and data analysis (e.g. Python, MATLAB, R, or similar
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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degree) in (applied) physics, electrical engineering, or related subjects. Solid background in quantum optics, quantum mechanics, and photonics. Knowledge of programming languages such as Python and MATLAB
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models, parameter estimation and model validation). Documented knowledge and experience in data analysis and scientific computing (such as proficiency in Python/R/MATLAB, data visualization, machine
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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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imaging. Experience with scientific programming (e.g., MATLAB, Python and/or C++). Excellent analytical and problem-solving skills. Interest in image reconstruction, beamforming, machine learning, and