22 data-science-"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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) 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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, artificial intelligence, machine learning, computational social science, data science, or a related computational discipline. Applicants must have experience with digital trace/multimedia datasets and in
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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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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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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. The Department of Infection Biology brings together pathogen
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written outputs. The postholder will be part of the Global Health Economics Centre, a world-leading group of over 100 academics working on a diverse portfolio of health economics research. The successful
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and support trial management. The post-holder must have a postgraduate degree in a relevant area such as social science or public health and relevant experience in qualitive data collection and analysis
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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