52 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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opportunity to contribute to a high-impact international research programme that shapes global recommendations on cancer prevention and survivorship. Our team is at the forefront of the Global Cancer Update
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Skills Programme and HAU. The post holder will support skill training at St. Mary’s Hospital, Paterson Centre, as well as the anatomy unit with the preparation of prosections and embalming duties, and will
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(or equivalent) in engineering, physics, mathematics, computer science, or economics. How to apply: Please choose the Electrical and Electronic Engineering Research Program and the Control and Power Group, then
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of Nature. The research programme addresses some of the deepest challenges of modern physics. The programme will aim at getting a much deeper insight on the behaviour of gravity, both classically, numerically
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Higher or Further Education Experience of working in a busy customer focused environment A high level of literacy and the ability to express ideas clearly and concisely A high degree of computer literacy
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, or an equivalent level of experience. Project/programme management experience, coordinating internal and external activities to meet deadlines. Experience influencing the successful delivery of outputs
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and Systems across the many Departments that form the Property Division. The duties are extremely varied however you will predominantly support the implementation of the Great Service Programme
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The post is funded by the UK Engineering and Physical Sciences Research council grant number EP/Z000106/1 to investigate the fundamental laws of Nature. The research program is to to study conformal
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working