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at NHSBT. The preferred candidate will have a PhD (or equivalent) in Health Data Science, Statistics, Epidemiology, Health Economics, or other related quantitative subject. They will have a strong
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criteria in the Job Description. We are seeking candidates with a PhD in epidemiology, biostatistics, or data analytics with a strong track record of working with local electronic health record datasets
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quantum foundations and quantum information, and Dr Barbara-Anne Robertson (School of Psychology), a behavioural neuroscientist focussed on understanding emotional memory. The position is funded under Dr
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their own analytical perspective and empirical research strategies, provided these remain within the scope of the planned project. Over the course of the PhD, the candidate will gain skills in collaborative
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attitudes, and why its political consequences vary across national contexts. The PhD project will combine multiple methodological approaches. Cross-national macrolevel data will be used to examine the
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and contact details of two referees (with email addresses included); 5. At least one example of your written work (in English and including some data analysis) that shows your analytical and writing
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creativity to solve research problems. In addition for Research Associate Awareness of the research environment High level of analytical and problem solving capacity Ability to communicate complex information
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”. They are expected to provide informal mentorship to PhD students in the group and will be given the opportunity to do some light teaching work. How to apply. Applications are to be submitted through the online
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. LanguagesENGLISHLevelExcellent Research FieldOther Additional Information Benefits The PhD student will be hosted at the Centre for Cancer Genetic Epidemiology , Department of Public and Primary Care, University of Cambridge
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project will suit students with strong quantitative and analytical skills. Ideally students should possess a master’s degree in statistics/biostatistics, mathematics, epidemiology, health data sciences