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BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
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, radiofrequency electromagnetic fields (RF-EMF). We are looking for a self-motivated epidemiologist/ statistician/ data analyst, with an advanced degree in epidemiology, medical statistics, or relevant quantitative
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statistics, or relevant quantitative discipline, and demonstrable experience handling large complex medical/health research datasets and strong statistical knowledge and skills. Responsibilities The post
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Job description Job summary The Statistics Section of Imperial’s Department of Mathematics conducts internationally excellent research across a broad range of areas including serious
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researcher (Grade 7), trained in statistics, epidemiology, economics or equivalent, with experience of longitudinal methods. Experience with one or more of the administrative databases within the ECHILD
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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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: Cardiovascular genomic bioinformatics; Genetic statistics; and Functional genomics and multi-omics. Key attributes of the successful applicant include: BSc and PhD in an appropriate field Successful track record
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Statistics Unit at The Institute of Cancer Research (ICR-CTSU) seek an experienced and highly motivated Principal Statistician to join their team of over 20 statisticians. We want to hear from you if you
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a
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View All Vacancies Department of Medical Statistics Salary: £43,947 to £49,908 per annum, inclusive. Closing Date: Wednesday 24 April 2024 Reference: EPH-MS-2024-02 The London School of Hygiene