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waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address
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Materials under Climate Change (MEDAS) project, funded by the Dutch Research Council (NWO), aims to establish a scientific foundation for designing and managing climate-resilient pavements. While current
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autonomous systems (innovation in robotics), enhance sensor and software capabilities (innovation in computer science), and combine these to enable large-scale automated sampling to complement vision-based
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collective values and design pathways for housing collectives to influence housing policy and sustainability transitions. This position is ideal for candidates motivated by housing justice, collective agency
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Description Are you excited about building cybersecurity platforms that are secure, explainable, and compliant by design? Do you want to combine real-time authorization, distributed ledgers, and verifiable
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evaluate interfacial stability. These insights will be key to understanding failure mechanisms and designing more robust, long-lasting battery systems. We especially welcome candidates with experience in
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position within a Research Infrastructure? No Offer Description Want to explore how citizen collectives can drive societal change? Join us as a PhD in using AI-powered agent-based modeling to design adaptive
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foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in
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environments. The researcher will work on modelling relevant propagation effects, designing localization strategies robust to urban acoustics, and validating these techniques using state-of-the-art experimental
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work on the following: Design of an efficient foundation model (FM) for generalization across patient anatomies, pathologies, and coil arrangements to infer optimal sensor settings from partial data