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between the central Finance Office and other departments, ensuring accurate, timely, relevant and reliable information allowing delivery of a customer service focus. Optimise and lead the VAT recoveries
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and reporting insights back to the rankings committee. 4. Manage large volumes of complex data, including all data submitted for the rankings survey and mandatory data for the Athena Swan
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comparative case study research, documentary analysis) or quantitative methods (specifically large-language models, survey methods, large-N data analysis) Desirable: B1. Knowledge of national and/or the EU’s
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information with relation to cases is entered and updated on the bespoke database accurately. Respond to enquiries (telephone, email and face to face) using initiative and judgement to resolve problems ensuring
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or meetings with a medium to large attendance For informal enquiries regarding this post, please contact Professor Emilie Combet at [email protected]. Terms and Conditions Salary will be Grade 4
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Job Purpose You will contribute to the Sensing Enhanced Housing Survey project funded by Urban Big Data Centre, working with Dr Qunshan Zhao and Dr Grant Tregonning. This project is part of
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, organisation of events and visits, Freedom of Information and Data Subject Access Requests and College-level communications. Any other duties as assigned by the HoC to contribute to the enhancement
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the wider subject area of large mammal movement ecology and analysis of animal activity data. C2 Research creativity and cross-discipline collaborative ability as appropriate C3 Excellent communication skills
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Job Purpose The postholder will be responsible for performing analysis of large, complex, multi-platform data sets generated at the facility in support of world class research. This will entail
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Proven initiative and judgement to resolve problems independently and/or as part of a team. C5 Good data management skills, experience of handling and manipulating large or complex datasets C6 Evidenced