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About us The UCL Global Business School for Health (GBSH) at UCL East campus is an innovative business school preparing future healthcare leaders to disrupt and reimagine global health systems. GBSH
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About us A 3-year PhD Studentship is available at the UCL Division of Surgery and Interventional Science, within the Research Department of Orthopaedics and Musculoskeletal Science based
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; Great Ormond Street Hospital for Children NHS Foundation Trust | London, England | United Kingdom | 11 days ago
Disease in England: Dr Rachel Knowles, UCL Great Ormond Street Institute of Child Health (primary) Prof Pia Hardelid, UCL Great Ormond Street Institute of Child Health (subsidiary) 5: Developing statistical
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About us Biosciences is one of the world’s foremost centres for research and teaching in the biological sciences and one of the largest Divisions within UCL, undertaking a significant amount of
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data analysis.• Collaborate with colleagues at UCL and its partner institutions.• Maintain up to date skills and knowledge pharmacoepidemiology methods that are of relevance to observational research
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willingness and aptitude for learning new languages as necessary Ability to perform statistical analysis and data visualisation Prior experience working with human participants in an experimental or clinical
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Closing date: Friday, April 12, 2024 Stipend: c. £20,000 (in line with the UCL rate) + UK/Overseas fees Duration of Studentship: 3 years fees and 3.5 years stipend Start date: June 2024 Vacancy
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About us UCL established the Institute of Health Informatics (IHI) in August 2014 and is part of the UCL Faculty of Population Health Sciences. Institute of Health Informatics conducts high quality
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welfare or social justice focus. About the role CAJ’s largest project is our award-winning UCL Integrated Legal Advice Clinic (iLAC) which is committed to the provision of quality, independent advice
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group of Dr. Mario dos Reis, as part of a BBSRC project on development of Bayesian methods to analyse large genomic datasets. We seek a highly motivated individual with relevant background in statistics