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London School of Economics and Political Science; | London, England | United Kingdom | about 23 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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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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thinkers, policy makers, and leaders. It runs an annual programme of high-impact academic events and the flagship Europaeum Scholars Programme, which brings together outstanding doctoral students from across
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who currently support psychology, public health, MBA, and computer science students at Masters level. Main Duties: Typical duties include but are not limited to: Providing students with pastoral support
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contribute to teaching 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
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biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful
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redeployee is identified. For informal enquiries about this vacancy, you may wish to contact: Hannah McAuliffe, Programme Manager at Hannah.McAuliffe@edgehill.ac.uk About You As Senior Data and Reporting
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culture, you’ll play a key role in postgraduate and doctoral teaching, research supervision, and contributing to the PsychD programme and wider School. Experience in qualitative, quantitative, or mixed
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constitutive relationships directly from data, ensuring both predictive accuracy and interpretability. The project places strong emphasis on rigorous mechanics, inverse modelling, and computational