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pathogens in the hospital environment, spanning all aspects from sampling to sequencing to bioinformatics analysis. This should include experience in developing and optimizing laboratory protocols
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, social policy, sociology, social research methods. They will also have skills and experience in quantitative data analysis, and an interest in food insecurity, poverty, health, and policy. A background in
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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involve a test-negative design, as well as interrupted time series analysis. This is an exciting opportunity to be part of high-profile research which could help define future malaria control policy
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Population Services International (PSI), LSHTM and the University of Bristol. You will support the evaluation by providing epidemiological support, including rapid analysis of ongoing data collection, lead the
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and support trial management. The post-holder must have a postgraduate degree in a relevant area such as social science or public health and relevant experience in qualitive data collection and analysis
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analysis are essential. The post is part-time 21 hours per week, 0.6 FTE and fixed-term for 6 months, with possibility of extension subject to funding. The post is funded by the CRI Foundation and is
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of the research team. The role will involve contributing to the structural analysis of the study area through the integration of surface and subsurface datasets. This will include synthesising existing
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design, development and implementation of research and laboratory protocols, as well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and
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analysis, imputation of missing data, multilevel modelling, experience of using statistical software such as R and/or Python. Further particulars are included in the job description. The post is full-time