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research will help explaining how structures respond to extreme hydraulic loading and provide the scientific basis for safer and more optimized engineering solutions. This position offers a unique
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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-science mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a
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program, jointly funded by the Dutch Research Council (NWO) and the Foundation for Food & Agriculture Research (FFAR, USA). The program brings together 29 industrial and 17 academic partners across
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develop approaches that support more informed and sustainable decisions about existing buildings. You will disseminate your findings through scientific publications, conferences, workshops and engagement
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at the intersection of AI, deep learning, computational neuroscience, and vision science. You'll develop biologically realistic neural networks to understand how individual differences in the brain shape perception
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Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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15 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical