680 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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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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‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high winds (inducing large moments) develop roots that prioritise lateral spread rather than depth
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disciplines: Advanced Computer Science MSc Chemistry MSc by Research Comparative Social Policy MSc Economics for Development MSc Education (Digital and Social Change) MSc Education (Higher Education) MSc Energy
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the University of Oxford’s CRM Programme. This role focuses on designing, developing and delivering an effective CRM solution, in alignment with programme objectives and governance, to support the delivery
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an influential champion to strengthen innovation and entrepreneurship at the University, through the development of funding streams, education programmes, and advocacy. You will chair the Knowledge
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to grow the Oxford Internet Institute’s engagement with governments, businesses, and civil society organisations. This includes developing our executive education portfolio, as well as developing strategic
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interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
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that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations. Apply now
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between multiple organoid models. You will contribute intellectually to the development of the research and help shape the wider research programme. Responsibilities will also include helping with
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational