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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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industry. Our group combines precision experiments, advanced imaging, and modeling to uncover the physics of tin droplets under extreme conditions of laser irradiation. We have established a strong track
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Are you our new colleague? Are you an ambitious, highly motivated, and result driven (postdoctoral) scientist with experience in interpreting atmospheric (satellite) observations and machine
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Job description The Challenge As process industries transition to circular models, companies within Hubs for Circularity (H4C) need robust tools to navigate the financial complexities of industrial
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Production Printing, combining polymer science, rheology, and computational modeling to create the inks and coatings of tomorrow. Information Printing is evolving toward sustainability, precision, and
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responsiveness? How can AI-driven EO systems adapt in real time to uncertain, fragmented, or high-risk environments, including those with limited ground-truth data? What role will predictive models and real-time
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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Vacancies Postdoc in Sustainable Circular Business Models and Finance in Hubs for Circularity Key takeaways The Challenge As process industries transition to circular models, companies within Hubs
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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel