470 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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sports clubs, to strengthen alumni engagement across Oxford. About You We welcome applications from candidates with experience in alumni or student engagement, student ambassador programmes, stakeholder
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their research degree programmes. The role provides expert advice and administration on matters related to PGR students including support to the Academic Administration Manager, Education Manager and Director of
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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-holder will also have the opportunity to contribute to teaching. Applicants should hold, or be close to completing, a PhD/DPhil in physics, climate science, computer science, or a closely related
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strong relationships with senior technical and non-technical stakeholders across a diverse institution. You will be confident managing resources, budgets, and large-scale programmes of work, balancing
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across research programmes, and provide senior technical leadership through mentoring, training and capability development. You will also contribute to collaborative funding applications, publications and
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the College’s internal and external channels. Working closely with the Senior Engagement Manager, the post holder will plan and organise communications activity, draft and coordinate content, maintain
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of operational activities across the organisation. Working closely with colleagues across RLRH's global offices and programmes, the postholder will act as a key administrative focal point, supporting operational
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possess sufficient specialist knowledge in spider vibration sensing to work within established research programmes. Excellent communication skills, including the ability to write text that can be published
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, computer science, health informatics, or a related field. Other essential criteria include excellent understanding of linked electronic health records and experience using them in epidemiological or population