418 computer-science-intern "https:" "https:" "https:" "https:" "UCL" positions at University of Nottingham
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30 Jan 2026 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Environmental science » Ecology Researcher Profile Recognised Researcher (R2
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, building national and international reputation. Provide academic leadership, including mentoring and supporting colleagues, and fostering an inclusive and high-performing academic community. Contribute
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at Queen’s Medical Centre in Nottingham. About the role: You will deliver consistent and excellent teaching in Biomedical Sciences, with a focus on pathology, to students on our Graduate Entry and
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at Queen’s Medical Centre in Nottingham. About the role: You will deliver consistent and excellent teaching in Biomedical Sciences, with a focus on cardiovascular and renal physiology, to students on our
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collective skills for our academics to work collaboratively on a range of programmes and projects involving Applied Linguistics, International Higher Education, Translation and Interpreting, Cognitive
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will be responsible for locking and unlocking buildings and testing fire alarms. Other duties include the collection and delivery of internal mail, identifying and reporting maintenance issues
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are pleased to offer an exciting opportunity to join Disability Support Services as an administrator in
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degree (or equivalent if from other countries) in Chemistry, Physics, Mathematics, Computer Science or Natural Sciences or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a BSc
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Sciences), and Markus Kaiser (Medicine). Our group draws on and develop a wide range of computational approaches to data, including unsupervised machine learning, network theory, and dynamical systems theory