23 data-"https:"-"https:"-"https:"-"https:"-"UNIV" Fellowship research jobs at University of London in United Kingdom
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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of implementation analysis and will include reviewing data already collected as part of this cluster-randomised trial. The successful candidate will have a postgraduate degree, ideally a doctoral degree, in a
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will work with our team to shape the research questions, develop recruitment strategies, conduct qualitative and quantitative research, generate data, analyse findings, and deliver public engagement
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, there is potential for involvement in data analysis leading to conference presentations and/or authorship in peer-reviewed journals. Education & Leadership: You will be encouraged to deliver formal
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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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 the application