12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"P" Fellowship positions at University of London
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. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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into the wider community of established scholars within the British history field. For a full role profile, please refer to the job description below. Further information To be considered for this opportunity
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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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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Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London. For further information about the post please contact Prof. Phil
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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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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