316 data "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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The University is seeking an experienced Senior Information Compliance Officer to join our Information Security and Compliance Team within the Governance and Assurance department for a 12 month
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The Nottingham Clinical Trials Unit (NCTU) are recruiting for two Data Administrators to be a part of the Data Management team. You will report to a Data Manager and your role will be responsible
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The Nottingham Clinical Trials Unit (NCTU) are recruiting for a Data Coordinator to be a part of the Data Management team. You will report to a Data Manager and your role will be responsible
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7 Jan 2026 Job Information Organisation/Company University of Nottingham Research Field Juridical sciences » Criminal law Juridical sciences » Public law Juridical sciences » Other Researcher
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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an attractive annual tax-free stipend; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects
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to undertake a 4-year, enhanced stipend PhD studentship, within the Digital Metal CDT https://digitalmetal-cdt.ac.uk/ at the University of Nottingham. The Centre for Excellence in Coatings & Surface Eng
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) and is available as a fixed term contract until 01/02/2027, with the possibility for extension. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now
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developing proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously
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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret