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. Programming and Data Analysis: Proficiency in programming tools such as Python, MATLAB, or C++ is highly beneficial for control development, data analysis, and real-time system implementation. Experience with
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building UHV systems. Experience in simulating in COMSOL or similar programs. A strong grasp of written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc
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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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proficiency (e.g., Python, Matlab, C++, etc.) Documented competence in numerical modelling, machine learning and optimisation PLEASE NOTE: For detailed information about what the application must contain, see
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or MATLAB. Familiarity with numerical geotechnical modelling software (e.g., Plaxis, RS2/RS3 or OpenSees) is an advantage. Experience in geotechnical laboratory testing is an advantage. Have the ability
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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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renewable energy, e-mobility, or engineering Good programming skills (e.g., Python, MATLAB or R) Familiarity with control concepts Ability to work effectively with data and applied statistics Ability
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analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage. Your Team You will join the Brain Stimulation & Cognition Lab at the Faculty of Psychology
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to learn) as you will interact with patients. You have experience with programming and data analysis (e.g., Matlab, Python, R) is a plus. Previous experience with EEG and fMRI data analysis is an advantage
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. Proficiency in MS Office programs, particularly Word and Excel; additional knowledge of Origin and MATLAB is preferred. English communication skills, both oral and written is required. Additional scientific