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responsiveness to environmental stimuli such as solvent composition, temperature, light, or electric fields. In this project, we aim to exploit this responsiveness to design multi-layer polymer brush architectures
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polymer brush architectures with dynamically tunable wetting, solute transport, and trapping properties. The work connects fundamental polymer and soft-matter physics with concepts from intelligent
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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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level skills in the other field. PhD or close to completion PhD in Computer Science, Robotics or related discipline Advanced skills in software development and ROS. Analytical skills to understand complex
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to navigation and guidance, for example in nominal/degraded/failure modes; ever more complex mission architectures, including constellations, landers, hybrid crewed/robotic missions and cooperative missions with
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and
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hyperspectral — to support early warning, strategic situational awareness and the monitoring of emerging risks. A key focus of the fellowship will be the development of explainable AI architectures capable not