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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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for Data2Action. Possible disciplines include e.g. health sciences, movement sciences, digital humanities, geography, communication sciences. Excellent English language proficiency Good Dutch language
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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must have (or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, Master of
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full-time to start the program in September 2025. Desirable: Dutch language proficiency Eligibility Conditions: Applicants do not already hold a doctoral degree. Applicants must not have resided
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techniques. User of engineering software and modelling languages, such as, Python, MATLAB Toolbox, LabVIEW, DaisyLab, C++….. Working in interdisciplinary environments, good contextual understanding
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(or will receive in a few months) a Master’s degree in Computer Science Engineering, Master of Science in Information Engineering Technology, Master of Science in Computer Science, or a related field
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, this research will offer unique knowledge for tailoring intervention and prevention programs in several youth contexts. This project is proudly supported by the youth platform JEZ!, and is a collaboration between
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Master's degree in a relevant field, such as mechanical engineering, civil engineering, or materials engineering. You have a strong background in computational solid mechanics and finite element modelling