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students in the School’s undergraduate programme in Paediatric Dentistry. You will participate in the maintenance and further development of excellence in the quality of education within the School
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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About the role Join the British Museum’s largest digital programme - the Endangered Material Knowledge Programme (EMKP) - and play a key role in preserving global craft, architectural, technological
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of PMI, CIPP (full or part qualified), HND, Degree, NVQ4 or basic professional qualification and sound understanding and experience of integrated computer-based pension schemes. This full-time post is
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applicant will work mostly within our Technology Assessment Review programme, undertaking research to support National Institute for Health and Care Excellence (NICE) decision making, and in our NIHR Evidence
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the objective of discovering computational theories of dynamical systems. The post holder will report to the Principal Investigator. The post holder will be a member of research groups within the project, with
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. Develop the staff wellbeing programme. Manage the wellbeing team of School Nurse, Counsellor and Tutors. Work with outside agencies to safeguard pupils’ wellbeing. Duties listed are not exhaustive; all
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Research Contracts and working closely with and receiving instructions from the CHI-Zone Programme Manager, you will play an important part in helping the CHI-Zone to accelerate the development and adoption
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London School of Economics and Political Science; | London, England | United Kingdom | about 22 hours ago
and alumni events, within the Department of International Relations. The key responsibilities of the role are to assist the effective and efficient delivery of the IRD Events programme (comprising, but
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop