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, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used for surveillance in the future. The project will be supported by
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health economic methodology. The doctoral research will be supervised by experts including Dr Stephen Bradley (senior clinical lecturer), Prof Nick Latimer (Professor of health economics), Dr Meena Rafiq
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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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Closing Date: 28th July 2025 Sponsor: UKHSA Supervisors Dr. Marie McIntyre /Dr Roy Sanderson , Newcastle University Prof. Wendy Hardeman/David Turner, UEA Dr. Tom Inns/Prof. Roberto Vivancos, UKHSA
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demonstrable experience in academic writing for publication, e.g. peer reviewed paper(s) and/or report(s) Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis
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Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato