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to the class label given, but also to generate data for classes that are not present in the training set and conduct their own material characteristic campaign. Further Information: The University of Edinburgh
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EPCC at the University of Edinburgh is the UK’s leading centre for Supercomputing and Data Analytics. We are seeking a Data Architect to work as technical lead in maximising the capabilities
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technologies, by bringing most up-to-date bioscience and engineering together, so off-grid systems are configured with confidence. The project at the University of Edinburgh specifically addresses a pressing
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at the University of Edinburgh, specifically within the soft matter group. In this post you will experimentally investigate the rheology and microstructure of filled colloidal gels relevant for personal care
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at the University of Edinburgh, specifically within the soft matter group. In this post you will experimentally investigate the rheology and microstructure of filled colloidal gels relevant for personal care
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led by Prof Bruce Whitelaw and Dr Tom Burdon at University of Edinburgh (Roslin Institute) and Prof Ramiro Alberio at the University of Nottingham. The team’s expertise in genetic engineering, stem cell
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and Nano Systems at the University of Edinburgh, which is funded by Engineering and Physical Sciences Research Council and in collaboration with colleagues at Universities of Glasgow, Heriot-Watt and
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The School of History, Classics and Archaeology at the University of Edinburgh is delighted to invite applications for a full-time Masters by Research degree programme. The scholarship exists due
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The role This post holder will be nanofabricating small crystals of quantum materials (QMs), and characterising their electronic properties. Focussed ion beam (FIB) microscopes will be key for fabrication, leveraging the recent acquisition of two new FIBs in the School of Physics, including a...
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Bowles’ lab at the University of Edinburgh UK DRI centre. We are looking for a researcher interested in investigating the functional and transcriptomic effects of astrocytic tau pathology in progressive