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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational
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embedded in the ECCO (Empowering Citizen COllectives in societal transitions) consortium. This setting offers an exceptional opportunity to pursue your PhD as part of a groundbreaking research initiative
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the MSCA-DN MICROSUNSET for a period of 48 months. Your research is embedded within the chair Global Nutrition (https://www.wur.nl/en/chair-groups/human-nutrition-and-health/global-nutrition
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guidelines that support industry, policymakers and society in adopting circular manufacturing practices. The project is embedded in a strong national consortium and offers a unique opportunity to conduct
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the global survey research community. PhD candidates will be embedded in this dynamic research environment and will have the opportunity to engage with leading scholars in the field, present their work
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. The project is embedded in a strong national consortium and offers a unique opportunity to conduct impactful, application-driven research at the interface of AM, circular economy and sustainable industrial
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. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
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research is embedded within the chair group Animal Breeding and Genomics (ABG; Research of Animal Breeding and Genomics | WUR) which is led by Prof. Mario Calus. You will be supervised by Dr Yvonne
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). You will work on an original PhD project embedded in the Utrecht University School of Economics and the interdisciplinary Delta Climate Center, combining rigorous economic analysis with real-world
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protection with social justice through participatory and reflexive approaches to heritage management. This PhD position (DC-9) is embedded in Work Package 4 “democratisation” and is supervised by Prof.dr