376 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" positions at University of Nottingham
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About the Role The successful candidate will plan, conduct and oversee the day-to-day technical running of the research group, allocating resources and providing technical supervision/training
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of Medicine undergraduate programmes including the 4-year Graduate Entry Medicine (GEM) course and our new 5-year BMBS Medicine curriculum which launches in September 2026. You will be expected to create new
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the development of essential life skills alongside academic success. We act as a vital link between students and the wider community, addressing concerns, managing student conduct, and ensuring student
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fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
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continuous improvement in governance operations, embedding efficient processes, high professional standards, and a culture of integrity and transparency. Lead, develop, and inspire a professional governance
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placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
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research building on previous research from the Silvi research group. The research will focus on the development of novel reactions based on photoredox-radical chemistry. The new radical processes will be
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. They will be responsible for the day to day leadership and management of the Capital Projects team and the successful planning and delivery of the Estates capital projects programme in support of wider
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density