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Job Summary – Good quality, functional learning spaces are essential to ensuring the best learning and teaching experience for our students and staff. This role will assist learning space programmes
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About the role - The University of Nottingham is launching a new Medicine Curriculum in September 2026 and is in the process of building a new Clinical Teaching Centre and Exam Centre to support Clinical Skills and Simulation education. You will provide specialist technical support in the day to...
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. Working closely with the Principal Investigator and academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation. The role
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About the role The role will sit within the Universities Finance Department, reporting into the Assistant Director of Finance Shared Services with matrix management into the formal LLE project team. Whilst there is no direct line management responsibility, the role holder has ultimate...
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Contract: Open Ended Contract Hours: 21 hours 30 minutes per week (0.6FTE) Salary: Grade 6 (£33,951 - £37,694) per annum The Learning Enhancement and Academic Development Centre (LEAD) at Queen
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Summary of the role Learning Experiences & Innovation (LXI) is the ‘go-to’ service across the Exeter learning community in empowering our students, academics, staff and partners to co-create a
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. The postholder must have registration with the Nursing Midwifery Council (NMC) and have experience of supporting and supervising learners. Key areas of responsibility Assist organisations to identify learning and
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? If so, then Norland is the place for you. Our TEF Gold-rated award-winning early years undergraduate degree and integrated diploma programme is world-renowned for delivering outstanding teaching, learning
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Libraries and Archives. The role: This new role is an exciting opportunity to build on and enhance the digital learning provision across Cambridge University Libraries and Archives. Through developing high
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extraction. 2. Be responsible for the application of AI and machine learning techniques to improve tissue image interpretation, for use in case selection and tissue annotation for tissue microarray