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work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing challenges in a solution
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff
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1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple
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technologies (SiC and GaN), advanced and intelligent control, artificial intelligence and machine learning for power electronics, digital twins, condition monitoring and predictive maintenance. Important
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. If you want to learn more about working at Radboud
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Faculty of Arts The Faculty of Arts is committed to the development of knowledge with a strong scientific and social impact. With over 500 academic and support staff, we teach and conduct research
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complement EUR’s institutional Current Research Information System (CRIS), PURE, for research management, evaluation, and strategic decision-making. This is a learning and decision-support project, not