326 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "I.E" positions at University of London in United Kingdom
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, our heritage and our strategic location, to become a leading School nationally and globally by investing in all areas of activity. We offer programmes at the undergraduate and postgraduate levels, both
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-wide Peer Support Scheme. This role sits at the heart of our work to support student transition, belonging and success, and forms part of our Access and Participation Plan. This is an exciting
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of the Faculty’s medical degree programmes. Together with partner hospitals and primary care practices, we provide an innovative, forward-thinking, and responsive curriculum to our passionate, diverse student body
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out a year of work experience and training prior to undertaking a postgraduate course in library and information science. It is based in the Library & Digital team in the School of Advanced Study’s
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programmes at the undergraduate and postgraduate levels, both nationally (from our Surrey and Central London campuses) and internationally through our global partnerships with the University of London. We aim
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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to ensure delivery of quality researcher-focused support, services and projects. About You The successful candidate will have a good understanding of modern computing infrastructure: VMWare virtualisation
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maintained. Investigate and resolve complex queries. Deliver to defined Service Levels Agreements (SLAs) and Key Performance Indicators (KPIs). Use initiative to plan immediate work priorities and react
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postgraduate programmes in veterinary medicine, veterinary nursing, and biological sciences and CPD programmes in veterinary medicine and veterinary nursing. Registry is developing the Ethics administration team
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods