75 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at University of Leeds
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complement our existing strengths. The successful candidate will contribute to the national and international profile of our Centre for Innovation and Research in Criminological and Legal Education. An ability
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British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Mechanical Engineering, Computer Science & IT, Data Analytics Keywords Optimisation, adaptive sampling, corrosion
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Opportunity only open to internal candidates currently employed within the School of Education, University of Leeds. Can you provide the strategic vision and leadership necessary for the School
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) and the Institute Partnerships & Engagement Officer, you will be responsible for shaping and developing our Institute External (& Internal) Engagement Strategy, developing and refining our partnerships
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with programme members, which includes University of Leeds, Leeds Beckett University and NHS staff, and will liaise with support services across both organisations and national and international
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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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research experience in chemistry or biochemistry and a keen interest in developing molecular tools to probe complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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will have some prior knowledge in deep learning and computer graphics. Subject area: Statistics, AI & Machine Learning, Public Health & Epidemiology