214 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" uni jobs at University of Nottingham
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across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages. For successful international applicants, we provide financial support for
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food science, metabolomics, AI-driven analytics, and rapid aroma/volatile profiling, you will lead a strategic project to develop a structured framework of prototype tea, data and methodologies that can
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customer-focused role is essential, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key
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stakeholders. You will bring first class administrative and IT skills, including strong data manipulation skills and excellent attention to detail. Taking a proactive and flexible approach to managing your
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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 communication and customer care
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· Query resolution and stakeholder support, investigating finance related queries accurately and professionally This is not a data-entry role. It requires sound accounting knowledge, curiosity, and
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guidance to the relevant stakeholders, calculating budgets and data entry using the Research Management System. • Support the RKE team as required in all aspects of research output including organising
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and Kaplan, and other pathway partners such as UK and international schools and colleges by managing key data processes, supporting academic and professional services colleagues, and coordinating
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and many more. To find out more about what we can offer you, follow the link to our benefits website What next Further information is available in the role profile. To apply for this vacancy please
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implementing a range of activities associated with the Morale Analysis and Metrics project. This project aims to use historical data to explore the relationship between levels of morale in an army and combat