23 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of London
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an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
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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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analysis of metagenomics data, and ideally experience with curation, validation, and submission of such data to public repositories. The postholder will be required to communicate orally and in written form
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, social policy, sociology, social research methods. They will also have skills and experience in quantitative data analysis, and an interest in food insecurity, poverty, health, and policy. A background in
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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr
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other aspects of research methods; organising searches; screening studies for inclusion; extracting data and assessing the quality of included studies; synthesising qualitative evidence; liaising with
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Population Services International (PSI), LSHTM and the University of Bristol. You will support the evaluation by providing epidemiological support, including rapid analysis of ongoing data collection, lead the
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’ intervention across English secondary schools. The successful candidate will lead the study’s process evaluation, taking ownership of collecting and analysing qualitative research data within school environments
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relevance. The post offers an excellent opportunity to work on a new research programme on economic evaluations that use trial data within a highly supportive, collegiate environment. The postholder will work
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Outcome Network (ICON) on an NIHR-funded Better Methods, Better Research (BMBR) project developing the Multiple imputation framework for missing data. This collaboration with University of Warwick, aims