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enrich our research. We are offering a unique opportunity to submit your own research proposal and, thereby, make your own contribution to our research agenda. What research question will you present? Your
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quantification and operational risks, ensuring outputs meet ethical and security requirements within European contexts. Prototype development and strategic integration: build demonstrators, validation pipelines
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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two real-world care pathways using existing data and gold-standard LCA methods; supervising PhD candidates working on the quantification of environmental impacts in healthcare; contributing to peer
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-relevant research environment. You have: A PhD (or a nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience
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awareness. We welcome applications from recent PhD graduates in relevant areas, such as artificial intelligence and natural language processing. An ideal candidate will have a strong technical background in
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the Netherlands. The faculty is committed to innovative, multidisciplinary research and a constantly evolving curriculum that addresses key societal challenges. Our faculty is large enough to make an impact on both
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Deep-UV spectral libraries or real-time interpretation models for plastics currently exist. The successful candidate will therefore act as a first mover, building foundational datasets and AI models
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the possible interpretations and meanings these places carry. Building on this transnational framing, the project approaches Dutch and (post)colonial traumascapes as sites of agonistic memory: spaces in which