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Field
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can be an advantage but not limited to: MATLAB, PLECS, PSCAD, others. Excellent English language skills (both oral and written). Publications in international journals/conferences will be valued
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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and ROS2 are essential, Matlab and AI/ML tools are an asset Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted
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machine learning You have good programming skills in Matlab, Python You have proven your proficiency in English language equivalent to B2 level You are enthusiastic and result oriented You can work
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that connects engineering and clinical application. You have programming experience in Python, MATLAB, or similar languages. You are motivated, collaborative, and communicative. Additional Information Benefits
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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theses and research working groups Desirable qualifications: Good knowledge of modern statistical analysis methods and experience with relevant software packages (e.g. SPSS, R, MATLAB) Initial experience
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis