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ETL/ELT methods and creative techniques to build accurate and scalable data models. The role holder will champion the adoption of BI tools across the business through training and user support. In
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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. You will update webpages, input and check numerical data and contribute to professional documents, so will have a good level of literacy and numeracy, and will be a proficient user of key Microsoft 365
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knowledge of the SITS student records system, including analysis of data. Presentation skills and ability to prioritise own workload is essential. The successful candidate will be numerate and good at multi
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initial information and membership enquiries in person and online, as well as the circulation of loan and reference materials and administrative tasks for collection care. A methodical approach, confidence
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for NHS ethics and Health Research Authority approvals. You will have experience in mixed methods research, particularly with expertise in qualitative methods and be committed to conducting research
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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prevent chronic conditions. This KTP project builds the collaboration between DDM Health Ltd., Coventry, and Department of Computer Science and Department of Biological Sciences, Royal Holloway, University
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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
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-holder will lead a strategy for epidemiology research supporting outbreak response for UK-PHRST, manage new and innovative research projects and provide research expertise across the programme. They will