632 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" uni jobs at University of Sheffield
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and solve problems with an appreciation of longer term implications Essential Interview / Application Ability to manage sensitive and confidential information appropriately. Essential Interview
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IT skills, including the creation of engaging content for LinkedIn, websites and newsletters. Essential Application/Interview Analytical skills to synthesise complex information into accessible reports
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. E Application & Interview Further Information Grade Grade 8 Salary £48,822-£58,225 per annum (with the potential to progress to £65,509 per annum) Work arrangement Full time Duration Open Ended Line
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on the research conducted as part of an NIHR funded grant which comes to an end in July 2026 “Improving access to cervical screening for physically Disabled people” (https://www.dev.fundingawards.nihr.ac.uk/award
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Victrex (the world leader with 75% market share in PEEK tribological polymer, who will supply test samples), ORE Catapult (who will supply wind loading data, and the potential for field trials), Klüber (a
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). Information on what documents are required and a link to the application form can be found here - https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Your research proposal should be no longer than one
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public engagement activities, consultancy etc. (Application/ Interview) Further Information Grade: 8.2 Salary: £48,822 per annum Duration: Fixed Term 3 years from 1 September 2026 until 31 August 2029
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, support and general information to a diverse audience. The role involves working across two customer services reception desks, both at Ranmoor and Endcliffe, as well as managing telephone and email
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tracking error. The aim is decision-grade uncertainty quantification (UQ) and principled data-driven parameter selection. Hence, the project will develop automatic portfolio rebalancing driven by UQ analysis
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the technique and broaden its application to include additional materials for a range of environmental and operating conditions. The project aims to develop a data driven GPU accelerated agent-based materials