321 data "https:" "https:" "https:" "https:" "UCL" positions at University of Nottingham
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with sensitive and confidential information in a professional setting; and customer Service / Experience of responding to enquiries and requests from a range of service users. You will have excellent
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sent directly to this email address will not be accepted. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. #LI-DNI #INT
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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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for the Institute coordinating and documenting the deliveries and manning a goods in desk for distribution of the goods In addition, you will be dealing with post and telephone enquiries, entering, and checking data
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Time) 17 April 2026 at: (https://jobs.nottingham.edu.cn/job/184511/ ) for the position. Only on-line applications made at (http://jobs.nottingham.edu.cn ) will be accepted. Applicants need to supply
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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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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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information is available in the role profile. To apply for this vacancy, please click Apply Now and complete your details. This role is full-time (36.25 hours per week). If you are interested in part-time work
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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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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult