16 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship research jobs 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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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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and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable
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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