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Circularity, energy transition, extreme heat, and flooding: all potentially conflicting challenges that eventually converge in the built environment. Consider, for instance, how the civil infrastructure required to realize the energy transition or changing material flows to construct bridges and...
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Vacancies PhD position AMBITIONS: accelerating transitions by navigating values in the built environment Key takeaways Circularity, energy transition, extreme heat, and flooding: all potentially
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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properties, and scalable manufacturing, automation accelerates the development of novel nanomedicines, bridging the gap from academic research to clinical applications. Nanomedicine, a field that integrates
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knowledge flows between researchers, companies, and regulators, and develop practical tools and strategies to accelerate the shift toward animal-free methods. Your work will combine advanced quantitative and
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for advancing healthcare innovation. By enabling high-throughput synthesis, precise control over nanoparticle properties, and scalable manufacturing, automation accelerates the development of novel nanomedicines
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spanning nanomedicine and fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) in order to accelerate and support the development of novel nanomedicines
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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to economics. The project aims to be an accelerator for the transition to a regenerative, profitable and socially supported agricultural sector. As part of this project, we will monitor and model a range of