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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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of Singapore's research and innovation ecosystem and aims to support the development of a sustainable, climate-resilient, and healthy city through data-driven design and policy-relevant research. The programme
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of data on different aetiological subtypes of TIA and stroke study subjects as part of the Oxford Vascular Study (OxVasc), a population-based cohort study of all acute vascular events in all arterial
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designing and delivering simulation studies of health facilities/systems, coordinating data-collection surveys, engaging with stakeholders, and supporting the establishment of an international learning
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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contribute to statistical, genetic and genomic epidemiology projects that underpin drug development, working with large-scale genomic and linked health data, including major cohort studies and biobank
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening