561 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Oxford
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the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
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an important role in the Oxford Cancer Clinical Trials Unit providing an effective administrative support service for the team running our clinical cancer research programme. This post is largely office/computer
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Brian Nicholson (Cancer Theme). The successful applicant will be Stats lead for the EBHC DPhil programme and Methodological lead for the Cancer Theme. Responsibilities will include providing strategic
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, development, and aspirations. Apply now to become part of our extraordinary legacy. As part of our programme to transform Oxford’s digital communications we are developing a brand new intranet. To support this
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collaboration with members of the research team. They will keep record of programme development, statistical analysis and results which may be used for relevant sections of manuscripts, presentations and other
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for the Bodleian Libraries by supporting the delivery, management and growth of the Friends and Patrons programme, which is at the heart of the Libraries’ supporter activity. What We Offer Working at the University
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the Student Systems Support Centre, and delivers ongoing improvements ranging in size from small enhancements to major projects. The section works closely with the Education IT Programme, one of whose aims is
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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
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-driven environment supporting GSK-Oxford Pre-Cancer & Immuno-Prevention Alliance (GO-PRECISE) and related Oxford Cancer programmes. In this role, you will be responsible for managing Unix/Linux-based
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues