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applications. For further information visit the UK Visas and Immigration website . Applications are invited for a 3-year, full-time Postdoctoral Research Fellow position in the Department of Psychology at Royal
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responsibilities include data collection, analysis, and database management; preparing research findings for conferences, peer-reviewed journals, and reports; and conducting literature reviews to guide study
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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on national and sub-national survey data collected through a new Gates Foundation-funded initiative at the Vaccine Confidence Project, focused on the Immunisation Metrics and Monitoring Systems (IMMS
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a researcher with skills in quantitative data
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data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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environment. Further information on the programme is available at: PROGRAMME | CREATE PhD Programme (create-phd.org) This programme is aimed at supporting health professionals who wish to undertake rigorous