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from the longstanding, trusted, and collaborative tradition of the Bronfenbrenner Center for Translational Research, Cornell Human Ecology’s hub for accelerating connections between research, practice
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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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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to rare disease trials. This PhD studentship is part of LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials. Students will receive training
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conditions. This will accelerate the development and qualification of more resilient materials and coatings, contributing directly to the advancement of sustainable fusion energy. The techniques developed may
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alternative. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando
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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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complex input. For instance, in physics-informed ML, in addition to data examples used by a standard ML setup, domain knowledge serves as an additional input. It can be in an explicit form of rigorous
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of transition processes, and/or o co-creative qualitative research approaches. Eager to explore new empirical research directions and flexible to adapt the research process to new developments and insights
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a