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undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Do you have an interest in high-performance computing (HPC), digital research technologies or Research Software
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until 31st March 2027. You should have a degree in a numerate discipline and practical experience of advanced statistical techniques. You will be responsible for analysing existing data, developing
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@leeds.ac.uk Project summary The project focuses on developing new statistical methods for detecting unusual patterns in healthcare-associated infections. This is a fully funded 3.5-year PhD project supported by
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Platform that will utilise advanced material characterisation methods and novel immunological assays. You will have access to cutting-edge facilities to conduct specialist experimentation and will be
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continuation and success of students on programme. We are looking for a candidate with experience of providing pastoral support on individual basis and in group settings. An understanding of the support needs
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The National Archives, through the Archives Revealed programme, to catalogue the Irene Manton Archive. Irene Manton (1904–1988) was a pioneering botanist whose research on ferns and algae helped advance
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to teach one or more foundational subjects is essential and we particularly welcome applications from those with a strong track record of leadership at module, programme and/or school level. You will deliver
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This role is available to current employees within IT Services at the University of Leeds only. Interviews will be held w/c 11 May 2026. This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working...
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The interviews are expected to take place on the 12 May 2026. This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Reporting to the Market Research & Insight team, and a key member...
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staff of 100 different nationalities. The Research Infrastructure team is a core part of the University’s Advanced Research Computing (ARC) group and plays a vital role in supporting the University’s