17 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at University of London
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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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
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practice research, primary care research, etc. The postholder will be required primarily but not exclusively to undertake qualitative data analysis, supporting patient and public involvement, and other
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London. For further information about the post please contact Prof. Phil
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research, etc. The post-holder will primarily undertake data extraction, data management, and advanced quantitative analyses, as well as liaising with the other research teams, supporting patient and public
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risk factors in eastern Hararghe, Ethiopia. Candidates should have a postgraduate degree in demography, epidemiology or a related field and have strong quantitative or data science skills. Further, we
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data collection and management. Proficiency in statistical analysis (e.g., R, Stata) and/or data management software (e.g., ODK, SQL) is also essential. This appointment will require regular travels
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Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and
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consequences of vaccines against Respiratory Synctial Virus (RSV) and influenza, and communicating findings to both academic and policy communities. Using data from large electronic healthcare records