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Countdown aims and personal career development. About you The post holder will have a PhD or equivalent working experience in climate science, epidemiology, statistics, data science, or related field with
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Overview We are looking to recruit a researcher with strong background in statistics/mathematics and an interest in Bayesian statistics, causal inference and health technology assessment to join the
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phase II/III designs and biomarker driven designs. LICTR hosts a dedicated, cross-cutting Methodological Research, Education and Innovation (M-REI) Division, conducting statistical, trial conduct and
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://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification
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computational, statistical and social data science approaches to expand knowledge on gender inequalities in digital connectivity, as well as the impacts of digital gender inequalities on social, demographic, and
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using computational, statistical and social data science approaches to expand knowledge on gender inequalities in digital connectivity, as well as the impacts of digital gender inequalities on social
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Are you an ambitious researcher looking for your next challenge? Do you have a background in economics, econometrics, statistics, epidemiology or health data science? Are you interested in working
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project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
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, statistics, epidemiology or health data science? Are you interested in working with observational data to address policy-relevant research questions? We are looking to appoint a Grade 7 (Research Fellow) in
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational