549 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Oxford
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programme. You will specifically be located in the Barnes group, but you will also work across large Interdisciplinary team going from antigen discovery to human cancer prevention studies. You will be part of
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the University’s Focus programme. They will skill and empower other team members to enable smarter, more efficient working, to respond to current challenges and to promote positive change. The successful applicant
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degree, or be enrolled in a doctoral programme, in Economics, Development Economics, Public Policy, or a related field, with demonstrable quantitative research skills and experience with econometric
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Oxford’s cultural community and leads an exciting programme of public exhibitions and events to engage communities with our collections. You will work alongside colleagues in a busy, professional and
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a Level 4 Corporate Responsibility & Sustainability Practitioner Apprenticeship with GLP over 30 months. Working closely with the Environmental Sustainability Programme Manager, you will support
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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understanding of a range of software packages, including the Microsoft Office suite of programs, database computer programs, Autodesk or other CAD software. Application Process To apply, please upload: • A
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• Employee Assistance Programme • Discounted bus travel and Season Ticket travel loans Secondment opportunity This post could be considered as a secondment opportunity. Please discuss any secondment
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-quality, safe, accessible, and welcoming front-of-house operations across a year-round programme of arts, academic, and public events. This is a hands-on role requiring strong leadership, customer service
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We are looking for a Research Assistant Reporting to Prof Yee-Whye Teh. The post holder will be a member of Oxford Computational Statistics and Machine Learning (OxCSML) with responsibility