195 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions 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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during the span of the project. The post holder will have technical experience of reporting and visualising strategic information and an understanding of the key performance metrics used within the higher
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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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. Further information To be considered for this opportunity, please submit your application and covering letter (by clicking ‘apply for job’ at the bottom of this page) before the closing date at midnight on
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or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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, Testers and Application Support team members use them to support the implementation and operation. Where appropriate, maintain and take full ownership of Application and Data Design catalogues, including
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will provide high-quality information, support, and guidance to applicants and students on a wide range of welfare and wellbeing issues, ensuring a professional, inclusive, and student-centred experience
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will collaborate with senior colleagues and external partners (e.g., NHS in Medicine and Dentistry) to influence policy and institutional initiatives. Using data-driven approaches to support performance