316 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Nottingham
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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collating the information for the monthly news bulletins for all sent Network members. The successful candidate for this full-time post will: Possess a first-class or upper second-class honours degree in
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. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless experience for our student, staff, alumni and public members. Excellent
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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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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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, 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