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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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debris mitigation requirements. Formulation of future scenarios incorporating technology roadmaps, such as the ESA Vision 2040, and hypothetical technological breakthroughs. Policy analysis and regulatory
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systems that preserve geometric structure, physical consistency, and mathematical invariants throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific
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provide meaningful explanations of their predictions to downstream users. A central aim of this project is to investigate how Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and
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on large scale and interoperable collections, in cooperation with the societal partners in the project, including the Netherlands Institute for Sound and Vision, the National Archive, and the National
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Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities! This position is part of
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, hands-on postdoctoral researcher who is excited to push the boundaries of markerless motion capture and its clinical application. You are eager to combine computer vision, biomechanics, and synthetic data
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks