84 embedded-system-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Leeds
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The interviews are expected to be held on Friday 8th May 2026 This role is open to current employees of the University of Leeds only This role will be based on the university campus. We are also
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This role is available to current employees at the University of Leeds only. The role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open
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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
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experience? We seek to appoint an aspiring clinical academic with a subspecialty interest in cardiovascular imaging. The post is based in the Biomedical Imaging Science Department in the Leeds Institute
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interfaces in brine–supercritical CO₂ systems, under reservoir-relevant pressure and temperature conditions. The role focuses on supporting experimental studies of droplet wetting and dewetting, using imaging
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Dental Practices and in Non-NHS settings with at-risk students in schools. The focus is addressing oral & dental health (O&DH) prevention targeting at-risk, underserved communities with high oral health
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This is an internal post, only open to staff currently working in the People and Culture Directorate. This role will be based on the university campus with scope for it to be undertaken in a hybrid
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–sugars conversion process, enabling industry and policymakers to understand how the process system performs technically, economically and environmentally at scale. As the Research Fellow, you will develop
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expertise in organisational design and development to one of the largest higher education institutions in the UK? The University of Leeds is currently progressing a significant amount of transformational
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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