342 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at University of Nottingham
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. Further information on the duties for the post and the experience and qualifications required can be found on the attached job role profile. This post is available on a fixed term contract for 6 months
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colleagues Contribute to the committees supporting REF governance and support process development and improvement Is confident using data in Excel, Sharepoint and other digital tools to maintain clear records
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information leaflet . This post is based in the School of Medicine Education Centre, within Queen’s Medical Centre (QMC) hospital, Nottingham. However, you will be asked to travel to other hospital sites in
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If you are looking for the first or next step in your career, this is an exciting opportunity to join Registry and Academic Affairs, and we look forward to hearing from you. Further information
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and supports learning, leading to excellence in the student experience. A candidate brief is provided with information about the Educator Academy. Please contact Sue Morrison, Director for ESE
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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and reporting, and contribute to strategic decision‑making through high‑quality data and analysis. Working closely with academics, Faculty Operations, and central Research & Innovation teams, you will
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in advanced experimental techniques, data analysis, and interdisciplinary problem solving at the interface of physics, materials science, and device-relevant functionality. Outcomes will include high
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personal data in your application, until shortlisting has been completed. All appointments are made on merit. Further information is available in the role profile. To apply for this vacancy please click
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data