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the large consortium Hydrogen & Human Capital for Learning, Education, Advancement, Research and Networking (H2LEARN) of the National Growth Fund programme GroenvermogeNL, a collaboration between one research
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departments and four support departments. Our academics collaborate in six research centres and teach more than 1,000 students. Our staff and students are committed. The lines of communication are short and
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to ESA’s strategy; a wide network of relationships and collaboration with top academics, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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research group focused on (noncommutative) algebraic geometry, with connections to representation theory. This position offers opportunities for collaboration, participation in seminars and workshops, and
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and accessible research instruments in close collaboration with disability organizations and care professionals. Analysing qualitative and quantitative data and translating findings into academic
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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studies will be performed to explain human functioning, understand disorders and test new technologies. You will collaborate closely with colleagues from the Donders Institute and the Sint Maartenskliniek
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with
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a Professor of Microbiology at the Faculty of Science. "Strong collegiality is one of the unique characteristics of Radboud University. There is a safe, friendly atmosphere. It’s easy to collaborate
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with