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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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capable of learning online from new data. Both low- and high-frequency data analysis will be considered. About You The successful postholder will have or is soon to complete a PhD degree in Statistics
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the Faculty of Science and Engineering. While it is built around the core disciplines of Physics, Astronomy, and Chemistry, it also incorporates data science, reflecting a growing emphasis on computational and
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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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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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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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involves working with a range of stakeholders to develop communication strategies, conduct qualitative and mixed methods research, generate data, analyse findings, and deliver public engagement. The post
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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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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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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