43 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" research jobs at University of London
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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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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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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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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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aspects of the trial, ensuring compliance with ethical and safeguarding policies Manage project data including collection of back up data and data entry in a timely manner. Develop an anonymous database
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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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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