366 data "https:" "https:" "https:" "https:" "UNIV" positions at University of Nottingham
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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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the ergogenic aid. Further information: Applicants should have at least a 2:1 in a relevant degree (for example but not limited to Sport Science/Medicine/Rehab, Public Health, Medicine), and ideally a relevant
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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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using a university fleet vehicle a full, current driving licence would be desirable. Further information on the experience and qualifications required for this post can be found on the attached Role
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for fuel system applications. While these methods provide a wealth of knowledge and information, they remain impractical for industrial use. Therefore, AI modelling techniques will be harnessed to develop
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more. To find out more about what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to
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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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of immigration-related expenses for any dependants accompanying you to the UK. For more information please see the our webpage on Financial support for visas and the immigration health surcharge. Additional
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experimental and modelling components of the project. This work will require effective communication with the broader international team of researchers and project partners to share information efficiently
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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