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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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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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remains a major scientific and technological challenge. Your job This collaborative project between the Alta and Thevenon groups aims to address this challenge by developing molecular additives
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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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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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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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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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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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longitudinal datasets, you will model how economic, educational, and political drivers have shaped the visibility of women artists over centuries. You will not only analyze these patterns but also collaborate
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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