39 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at University of London
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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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About the Role You will be employed to work on our EU Horizon ROADVIEW project related to perception sensors, modelling, data collection and robust perception, in collaboration with industry and
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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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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a data scientist with experience in natural
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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
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About the Role You will be employed to work on our EU Horizon ROADVIEW project related to perception sensors, modelling, data collection and robust perception, in collaboration with industry and
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leaders and policy makers in Thailand; delivering training and support to facilitators and healthcare teams involved in the delivery of the intervention; working with data scientists to review the quality
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that