331 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at University of Nottingham
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. • Collaborate with a wide group of stakeholders to ensure support levels are delivered and maintained. • Provide guidance to the relevant stakeholders, calculating budgets and data entry using the Research
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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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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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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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data-driven methods to develop an inverse design framework for manufacturing systems. Together, we will advance the capability to design manufacturing systems that embed reliability, resilience
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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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
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; experience of working within a large organisation with some accountability to stakeholders; considerable administrative experience; data analysis and reporting experience; and knowledge of GDPR. You will have
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, self-starter, PhD student to run the follow up questionnaires and analyse the data. This offers an exceptional research opportunity to investigate the contribution of lifestyle factors, particularly
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect