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flexible and driven researcher with a (recent) PhD, preferably in virology, veterinary sciences, or a related biomedical field. You are accustomed to working in an interdisciplinary team, learn quickly and
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Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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29 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2
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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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January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for postdocs; multiple courses on topics such as leadership for academic staff; multiple courses
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to the fundamentals of spatiotemporal data science and machine learning using scripting languages. Supervise BSc and MSc thesis students conducting research in Geo-information Science. You will work here The research
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the measurement instrument in close collaboration with our industrial partner, Veridis Technologies. An ideal candidate has experience in vibrational spectroscopy and spectral processing. Expertise in deep learning
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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, teachers may question how these accommodations align with their learning objectives and whether they are fair to other students. This study engages neurodivergent students in participatory research