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About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within the William Harvey
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View All Vacancies Health Services Research & Policy Salary: £51,299 to £71,192 per annum, inclusive. Closing Date: Friday 10 May 2024 Reference: PHP-HSRP-2024-07 The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is...
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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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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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Assistant to join the Unit for Medical Statistics (UMS) in the School of Life Course & Population Sciences. The postholder will contribute to the work undertaken by existing staff and take day-to-day
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 12 days ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: Apply knowledge and skills in epidemiology and statistics to support the delivery of the Agency’s Data Strategy
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference