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assembled by the University of Cambridge, to develop an interactive, evidence-based tool to allow decision-makers to map, understand, and embark on the pathways towards sustainable flight. Key
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for the transition fellowship and how this will map onto an external application in 18 months' time. This should include a clear explanation of how the research will enhance cardiovascular, neurological
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hybridisation, fluorescence-activated cell sorting, isotope tracing and next-generation sequencing to map the activity of key gut microbes in homeostasis and under perturbation, during disease. The post is funded
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or AI models. Hands-on experience with advertising platforms such as Google Ads, Meta Ads, or Amazon. Ability to design, develop, and deploy custom apps to support marketing functions. Familiarity with AI
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etc. The outputs from this work will be integrated with socio-economic modelling, systems-based risk mapping and work on social acceptance to form a roadmap to support policy and industry in
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the following project partners: SQMS Quantum Center (Fermilab); Chalmers University, Karlsruhe Institute of Technology; University of Glasgow, Louisiana State University, Google Quantum AI, Oxford Instruments
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the following project partners: SQMS Quantum Center (Fermilab); Chalmers University, Karlsruhe Institute of Technology; University of Glasgow, Louisiana State University, Google Quantum AI, Oxford Instruments
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
but not limited to testing fusion materials and their joints to the effect of irradiation, high temperature, heat flux/plasmas, quantify thermo-mechanical property degradation and map failure mechanisms