232 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at University of Oxford
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support for a small project on the current evidence and practice for anti-bullying policies for children and young people with special educational needs, and will be a member of the Child Development and
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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The Oxford Department of International Development is looking to recruit a Qualitative Researcher in British and European Politics who will report to Professor Masooda Bano, and will be a member of
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. The role offers an exceptional platform to develop advanced technical skills and contribute to impactful discoveries at the intersection of neurodegeneration and glial biology within one of the world’s
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/07/2027 in the first instance with a possibility of an extension, subject to funding. The role aims to develop and expand upon well-established chemistry in the Avestro Group to investigate how
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the development of novel fluorination methods for the preparation of fluorinated molecules of strategic importance using readily available feedstock and cost-effective sources of fluoride including
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climate forecasting. The aim of the project is to develop innovative solutions to better understand and correct the SNP, improving climate predictions for the Euro-Atlantic region and beyond. Applicants
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funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in water under mechanical
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” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly