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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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the Liverpool City Region to build on the Young Voices, Big Ideas project and foster ownership of the Children Growing Up in Liverpool birth cohort study in the wider community, and understand how people perceive
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the Liverpool City Region to build on the Young Voices, Big Ideas project and foster ownership of the Children Growing Up in Liverpool birth cohort study in the wider community, and understand how people perceive
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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the
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data from over 1,000 clinical isolates to build predictive models linking genotypes to tolerance phenotypes and clinical outcomes. You will lead the project and co-supervise a PhD student. We are looking
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD awarded or near completion
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. The project enables a targeted combination of expertise from machine learning, data science, and education with insights from educational practice. Drawing on large-scale data from authentic educational
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to small and/or large audiences as needed. Actively participates in the preparation of required technical and progress reports for research sponsors and funding agencies. Qualifications Appropriate PhD in a
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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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scans. The Oxford team, in partnership with 5 hospitals sites, has curated a large fetal echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be