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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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candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
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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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hours or job-sharing arrangements, and offer flexible working arrangements. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex
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candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
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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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to maximise antibiotic accumulation inside bacterial cells. The successful candidate for this post will develop predictive mathematical models of accumulation, parameterising these against data provided by
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applying logical problem-solving to issues such as data export challenges, connectivity problems, or access permissions. Awareness of AI validation processes, safe integration practices, regulatory
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maximum biological insight from their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational
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arrangements. The post We wish to recruit a Postdoctoral Research Fellow (PDRF) to participate in the innovative new MenstruLife project, which combines data from several longitudinal cohort studies to address