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Field
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beneficial. Programming skills in Python or MATLAB for simulation data processing and analysis would be an advantage. Familiarity with surrogate modelling and physics-informed neural networks (PINNs) for
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numerical modelling and scientific programming in MATLAB Basic understanding of battery systems, electric vehicles, energy systems or power grids Experience with model predictive control, multi-objective
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modelling Experience in scientific programming and numerical simulation using MATLAB and/or Python, as well as in processing and analysing experimental data Practical experience with laboratory battery
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measurement equipment, software-defined radio (SDR), or antenna simulation tools (e.g., CST, HFSS, or FEKO) is advantageous. Programming experience in Python, MATLAB, or C++ for signal processing, beamforming
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knowledge in R, Python, or MATLAB, willingness to adopt multiple of these languages as needed Enjoyment of application-oriented questions of industry High level of commitment and team spirit Very good
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coordination. Evaluate the proposed architecture using high-fidelity modelling and simulation (e.g. MATLAB/Simulink and Python) and, where feasible, explore experimental testing at DTU's hybrid power plant
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partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project programming experience in a language such as Matlab, Julia, Python or R good
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, especially dynamic simulations Experience with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows
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honours preferred), MSc or equivalent in Mechanical, Electrical Engineering, Control Engineering, Aerospace or Computer Science. Good mathematical background and experience with Matlab/Simulink, C
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tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate