710 web-programmer-developer-"https:"-"UCL"-"P"-"https:" positions at University of Oxford
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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in the management of the Global Health Research Group and has responsibility for the development of its strategic direction, funding, and programmes management. A recognised authority in their field
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SECURE project, a major multi-partner programme developing self adaptive gene therapies for neurological disease. This will involve (1) producing a single nuclei atlas of the substantia nigra and (2
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the personal qualities required to motivate and enthuse students to develop their own academic interests, and the ability to guide research students. The University of Oxford is committed to equal opportunity
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Graduate Development Scheme, IT Services 2026 Contract: Full Time, Fixed Term (24 months) Please note: This role does not meet the criteria for sponsorship under the Skilled Worker Visa. Applicants
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programme funded by the Natural Environment Research Council (NERC). This post is full-time and fixed-term until 30 January 2027, and we strongly encourage applications for secondment from across
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. Working closely with the Associate Director of Product Development and Delivery, you will support governance, resource planning, portfolio management and cross-departmental collaboration. You will help
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field epidemiology. Your work will involve developing and adapting analytical methods, managing your own research activities, and contributing ideas to the wider research programme. There will also be
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to the development and implementation of new microbiological assays and analytical approaches to support translational research and AI-based discovery. Working closely with the Senior Immunologist of the Programme
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integration for modelling development accelerator programmes in Africa. You will work closely with the Economic Evaluation Research Team (EERT) to develop innovative, data-driven models to inform large-scale