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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 3 Oct ’25 published
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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human robot interaction (e.g., sensory adaptive, child-led, reciprocal AI) Develop LLM-driven dialogue systems integrated into robotic and/or digital platforms Prototype and evaluate multimodal interfaces
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. This will include a detailed assessment of existing methods to address such risks, and on how to achieve a better use and exchange of existing protocols and data. The project includes the use of Digital Twins
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human robot interaction (e.g., sensory adaptive, child-led, reciprocal AI) Develop LLM-driven dialogue systems integrated into robotic and/or digital platforms Prototype and evaluate multimodal interfaces
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Description Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description Introduction Generative AI is transforming how
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Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description Introduction Generative AI is transforming how
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industrial application. It is part of activities in ARCNL’s Source Department. The research activities of the Source Department and its EUV Plasma Processes group aim at the atomic- and molecular-level
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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existing methods to address such risks, and on how to achieve a better use and exchange of existing protocols and data. The project includes the use of Digital Twins to simulate cascading disaster effects