562 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Oxford
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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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). The postholder will be responsible for programme design, delivery, documentation, and cross-programmatic coordination of RLRH’s locally based learning and research hub. It is expected that the postholder will work
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supervise a Graduate Engineer, coordinate external contractors and specialist consultants, manage laboratory safety implementation, and ensure delivery of the programme to agreed technical objectives, budget
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management of the programme. During taught modules, you will be required to support the smooth running of the teaching week, which will require extended hours. About you The successful candidate will have
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, machine learning, and/or computational biology to be able to work within established research programmes. They will have excellent communication skills, including the ability to write for publication
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. This project is part of the GO-PRECISE program, focuses on the development of preventative vaccines against cancer. We are seeking a passionate and motivated individual to join our team to contribute to cutting
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, fostering an inclusive and egalitarian community. We offer: Membership of the University’s staff benefits program, including 38 days’ paid holiday (pro rata for part time appointments) and access to world
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The Department of Statistics is seeking to appoint a StatML CDT Administrator. The EPSRC CDT in Statistics and Machine Learning (StatML) is a four-year PhD/DPhil research programme. It trains
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and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme and to its external engagement with policymakers
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(CoI-AI) Programme. This ambitious programme combines advanced immunology, artificial intelligence, and human challenge models to transform vaccine discovery and accelerate development against major