356 data "https:" "https:" "https:" "https:" "Inserm" positions at University of Nottingham
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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 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
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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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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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clothing for cadaver-based sessions, along with routine record keeping and data input. The technician will also support logistics by driving school vehicles to collect materials from abattoirs and clinical
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the number of preferred hours. Job share arrangements may be considered. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your
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. Sunday’s – 1200-1800. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. If you have any questions about this role, please
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website This is a full time, permanent position. For further information, please see the role profile attached and should you have any questions regarding the role, please contact Kershnee Pillay email
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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