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About the Role QMUL and Barts Health NHS Trust is currently implementing an end-to-end electronic transfusion service at four of its hospitals, supported by the Barts Charity. As part of this important project, the main duty of this post will be to develop, design and validate a Transfusion...
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Learning Developer to evolve our digital learning portfolio and enhance online products and services. You will experiment with new content, technologies, and trends to future-proof our portfolio, delivering
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We are looking for a Principal Educational Developer (New Programmes Project) to join our Education Services. This is an exciting time to join LSHTM as we bring our Vision and Strategy 2022 – 27
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in qualitative research methods and community engagement. The postholder will have an interest in learning new skills and working with colleagues from a range of backgrounds on sexually transmitted
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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, to support and facilitate enhancement of learning and teaching, innovative methods of curriculum delivery and student success. We are looking for a colleague to join the Educational Development team in
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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healthcare datasets to identify novel cancer risk factors, develop prediction models to provide individualised cancer risk using cutting edge methods, and examine the impact of exemplar interventions on risk
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; - contributing to research methods teaching at UG and PGT; - advising; - supervising UG and PGT student dissertations. About the School The School of Geography operates within the Faculty of Humanities and Social
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied