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statistical expertise and collaborative support for clinical trials and research conducted within the School of Life Course and Population Sciences. They will be responsible for supporting research
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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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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 | 2 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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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
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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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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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, health data science, health economics, psychology, health service research, computer science, signal processing, mathematics and/or statistics), with an excellent working knowledge of research methods in
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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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data analysis, statistical methodologies and machine learning for investigating complex diseases and should be driven by the translation of these data to addressing current biomedical challenges. Main