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manage our prospect and member’s database, utilising information from the Leisure Management System (LMS) for statistical reports, amount of prospects, where they are on the journey and conversion rates as
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presentations. Desirable: D1 Experience with statistical analyses. D2 Experience in proteomics D3 Data handling and management skills. Experience Essential: E1 Sufficient breadth and/or depth of knowledge in
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change. The postholder will be based at the School of Mathematics and Statistics, University of Glasgow working with Prof Christina Cobbold and will work jointly with project partners Drs Steven White and
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(CORE NET and Target Connect) ensuring accurate and comprehensive client data collection. To produce accurate statistics of the year's activities for the service's annual report and report trends and
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, including ability to conduct advanced statistical analytical techniques using a relevant software package (e.g. R, Stata, SAS). C5 Effective verbal and written communications skills, especially communicating
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issues, undertake background analysis and briefing, recommend solutions and draft responses, papers and reports as appropriate. Maintain our staff electronic files and generate statistical reports
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the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s) Knowledge and Skills Essential: C1. Knowledge of advanced statistical methods
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Statistics at the University of Glasgow. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is available for a period of 30 months. The successful candidate will also
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science, AI, data science, computer vision, mathematics, statistics or research software engineering. A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism A4 Knowledge
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background analysis and briefing, recommend solutions and draft responses, papers and reports as appropriate. Maintain our staff electronic files and generate statistical reports/information through various