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transfer. - THE ROLE - The Project Support Analyst will provide essential project and programme support within the Digital Project Management Office (DPMO) and will be initially deployed full-time to
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nurses. Also the post holder will contribute to the Faculty’s development and delivery of current and new undergraduate and postgraduate programmes and courses, enhancing the links between the Programme
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support and guidance from senior tutors throughout the programme. Work for a top 10 University: We’re proud to be a ranked top 10 University in the UK and awarded gold in the Teaching Excellence Framework
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programme, with St Andrews, promoting general-ism alongside secondary care exposure, ensuring to place patients at the centre of the students’ learning. Graduation of the first cohort is anticipated in 2028
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Associate Lecturer – Textiles (0.5 FTE, Fixed Term to end August 26) The Royal College of Art is seeking an inspiring and committed Associate Lecturer to join our dynamic Textiles Programme on a 0.5
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courses on our launch programmes in Computing Science and Data Science and our Mathematics degree in year 2. Once the degrees programmes become more established, teaching duties may change to more advanced
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of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. You will lead a two-year fixed term research programme examining the effectiveness of World
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identified schools to support KS4 students to reach the very top grades in GCSE Mathematics or equivalent, by providing a sustained programme of resources and online mentoring. In particular, we will focus
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Technological University (NTU) are seeking Research Engineers to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data