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The Opportunity: The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a non-clinical Post-doctoral Research Fellow to conduct original research
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& Qualification needed PhD in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Well-established national and international reputation in area of research
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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. Computer Science, Statistics, Data Science, Health Informatics, or related field) Proficiency in relational database design, construction and querying (SQL) Proficiency in Python and/or R for data
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data
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leader to develop an independent, internationally recognised programme at the interface of chemistry and biology. The position will be run as a joint appointment across the two departments
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a Research Fellow to contribute to a research programme examining how digital environments influence adolescent health. The postholder will lead the analysis of the UK Household Longitudinal Study