534 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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contribute to a programme exploring how experimentation and innovation unfold in public services, using immersive qualitative research methods such as fieldwork, interviews, and facilitated learning sessions
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experience with running LLM pipelines, running large scale computational projects • Have documented interest in AI If you would like to discuss this role, please contact Prof. Adam Mahdi adam.mahdi
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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an understanding
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including providing administrative support to the Associate Dean for Undergraduates for the ‘Preparation for Learning and Teaching at Oxford’ (PLTO) programme. Candidates should have strong administrative
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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offers a unique opportunity to lead a programme of research trials and clinical cancer activity for the Department of Oncology and Oxford Cancer. Our research focuses on the testing of novel therapies
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the Computational Rare Disease Genomics (CRDG) Team, which is led by Associate Professor Nicky Whiffin and based within the University of Oxford’s Big Data Institute. The CRDG team collectively use