340 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "University of St" uni jobs at University of Oxford
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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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enrolled students), managing examinations and assessments in accordance with university regulations, event management for taught modules, and financial management of the programme. During taught modules
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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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(CoI-AI) Programme. This ambitious programme combines advanced immunology, artificial intelligence, and human challenge models to transform vaccine discovery and accelerate development against major
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to your career stage; the ability to develop and lead an independent research programme, have awareness of an ethical and inclusive research culture, and secure research funding; a commitment to teaching
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We are seeking a highly motivated Postdoctoral Research Scientist in Cancer Immunology to join a Cancer Research UK (CRUK)–funded research programme investigating the mechanisms of immuno
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subject, a record of internationally excellent research supported by strong publications commensurate with their career stage, and a compelling vision for their research programme going forwards. They will
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leadership. Responsibilities include coordinating major research programmes and partnerships, supporting training initiatives such as the Oxford EPSRC Centre for Doctoral Training in Health Data Science
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will lead a programme of original research at international level and will be expected to prepare funding applications for your own research and to support junior colleagues in this activity. You will
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– Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced microbiology and immunology, and AI-driven analytics to accelerate vaccine