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novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief’ program
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’ program Foundation Models for Industry (FIND), collaborating with leading Dutch universities, knowledge institutes, and industry partners. The FIND project Foundation for Industry (FIND) – Large AI Models
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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models. This PhD is ideally suited to a candidate who enjoys hands-on experimental work, working with people, and combining cutting-edge measurement technologies with computational modelling. We
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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards
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: reduced-order models (ROMs) and input-output models derived from high-fidelity Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter
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insights applied in a significant transition program? If this sounds intriguing, you’re in luck – we’re hiring a PhD candidate for an exciting position at Utrecht University! Your job Dutch agriculture is
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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smart industry. You will be part of a large national ‘Perspectief’ program Foundation Models for Industry (FIND), collaborating with leading Dutch universities, knowledge institutes, and industry partners
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, computational modelling, digital ethnography and design research. It is a highly interdisciplinary program, including communication and cognitive science with AI and (computational) linguistics, human-computer