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, Asylum and Nationality Act 2006. Part-Time, Fixed-Term (8 months) The Role: This is a key role in leading the strategy and delivery on EDI for its flagship programmes: CoSTAR National R&D Lab and the UKRI
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. R, Python) is essential. See job description for details. The post is full-time, 35 hours per-week, 1FTE and fixed-term until 31 October 2026. The post is funded by ROCHE and the MRC/UVRI & LSHTM
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, and agree content/themes in collaboration with Associate Director, Engagement, Senior Engagement Lead and R&A stakeholders Attend on-campus and London events to manage the smooth setup and running
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have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language
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for candidates who demonstrate exceptional skills and experience relevant to the role. Post Type Full Time Closing Date 23.59 hours BST on Saturday 31 May 2025 Reference 0325-066-R Right to work: Please note that
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insights. The position involves data cleaning, analysis, and development of reports, with the chance to build skills in data science tools like Excel, R, Python, and AI-driven epidemiology methods. With
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on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0225-042-R Closing Date: 23:59, 17 July 2025 Interview Date: To be confirmed
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Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0425-079-R Closing Date: 23:59, 25 June 2025 Interview Date: To be confirmed The university has
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experience of using SQL or R/STATA to manage and analyse data. You will have knowledge health data ontologies including SNOMED and ICD-10 and know how to navigate statutory requirements for information
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measurement, MMM, attribution modeling, and experimental design. Proficient in analytics tools and platforms (e.g Google Analytics 4, SQL, R/Python, CRM and email platforms, Power BI). Ability to drive the data