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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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package is not required, but experience with one or more computational environments, such as MATLAB, Python or similar tools, will support your work in the project. Knowledge of Power-to-X, electrolysis
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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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-physical systems, energy systems, or smart buildings Good programming skills (Python, MATLAB, or similar) Excellent communication skills in English Who we are The PhD Fellow will be affiliated with
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programming, for example, in Python, MatLab or a similar language, and you are willing to further develop your programming skills as part of the PhD project. You have an interest in quantitative data analysis
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic