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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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for this project would have first degree and MSc/MEng in physics, electronic and electrical engineering or a related discipline. A passion for experimental work and capability to develop/apply mathematical modelling
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Principal Supervisor: Dr Khushboo Pandey Eligibility: The candidate should have a master’s degree in either Physics or Engineering. Minimum entry qualification - an Honours degree at 2:1 or above
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relevant experience to be able to advise, assess and support disabled students at the University of Edinburgh. A degree, plus recent relevant professional training Extensive experience supporting disabled
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Carbon strategic objectives ahead of 2040 and will demonstrate integrated reporting aligned to United Nations Sustainable Development Goals. The University of Edinburgh has long been a sector leader on
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for All). Dr Sam Fawkner (University of Edinburgh) and Prof Trish Gorely (University of the Highlands and Islands) are the supporting academics for the project. In line with Paths for All’s mission
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London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (University of Edinburgh) and Dr. Biwei Huang (University of California San Diego). The candidate will be a conscientious
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and budgets. Procurement at the University of Edinburgh has undergone a major transformation as we extend the scope of our influence and impact across our £1bn world-renowned organisation and introduce
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Carbon strategic objectives ahead of 2040 and will demonstrate integrated reporting aligned to United Nations Sustainable Development Goals. The University of Edinburgh has long been a sector leader on
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, cavitation is a major problem in engineering, as high-speed jets can develop during their collapse upon contact with solids, which are responsible for pitting wear, and even full structural failure