23 linked-data-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of London
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before, during and after pregnancy. The Research Fellow(s) will be involved in analysing routinely collected linked national datasets for all mothers and babies in England. The posts will provide
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Maddy Power, aimed at better understanding links between food insecurity, food aid use, and mental health. The successful candidate will a relevant first degree in the field of or related to public health
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) wishes to appoint a Research Fellow in Health Economics. The post sits within the Department of Health Services Research and Policy and links to the Global Health Economics Centre, a cross-school
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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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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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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