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- Wageningen University & Research; Published yesterday
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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materials by embedding AM into industrial repair and remanufacturing practices. This large, interdisciplinary national research programme consists of 15 PhD projects which will contribute to the development
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on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM into industrial repair and remanufacturing practices. This large, interdisciplinary national
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. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM
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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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will be a collaboration between the Resonant Nanophotonics group at AMOLF and the team of Dr. Imran Avci at the VU (Free University, Amsterdam) . You will be employed at AMOLF and be embedded in
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of the dynamics of an interconnected world and provide context for pressing societal challenges such as inequality and climate change. The project is embedded within the research group ‘Intercultural Dynamics
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the societal return on investment in dementia care innovations. Your colleagues: You will be embedded in an international and interdisciplinary consortium involving academic partners across Europe
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interactions in numerical ice sheet models, reducing uncertainties in future projections of the contribution of Greenland to sea level rise. The PhD position is embedded in the GreenLand’s ice-Ocean interactions
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is embedded in an international academic–industrial collaboration and targets fundamental questions in end-to-end autonomous driving and neural view synthesis. Your work is expected to lead to