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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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of producing academic journal articles is essential. You will likely have at least a Masters degree in Health Data Science, Data Science, Computer Science, Maths/Engineering, or a Medical Sciences subject, and
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health and fitness facilities and a range of discounts. For additional information or informal enquiries please email r.s.minns@soton.ac.uk . Please apply by uploading your CV and a cover letter to your
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to international conferences/journals. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and
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the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer. The postholder will play a pivotal role in the development of a next
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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evidence the following: Essential: We are looking for someone who holds at least a 2:1 degree or equivalent in Data Science, Computer Science or a related field; Demonstrable proficiency in Python and/or R
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one