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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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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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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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Physics was top in the UK for world-leading research outputs. Our joint submission to Engineering with the University of Edinburgh was ranked 1st in Scotland and 3rd in the UK for quality and breadth
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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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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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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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(https://coopai.kcl.ac.uk/ ) headed by Dr. Yali Du in the Department of Informatics, King’s College London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (University of Edinburgh
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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