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to a wide range of training opportunities, including state-of-the-art 3D in vitro Epithelioid cultures, live imaging using confocal microscopy, DNA isolation, molecular and radiation biology, and
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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be expected to manage and
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An exciting opportunity has arisen at the University of Manchester from the Wellcome Discovery Award ‘Developing Humanitarian Medicine (DHM): From Alma Ata to Bio-Tech, a History of Norms, Knowledge Production and Care, 1978-2020’ (226515/Z/22/Z) directed by Professor Bertrand Taithe at the...
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track record in data science, artificial intelligence (AI) including machine learning, and statistics, and ideally experience in the application of data science and AI to medical datasets. You will be
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Assistance Programme which provides free, confidential advice on both home and work concerns as well as optional private medical insurance, season ticket loans and being part of the cycle to work scheme. Start
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details and apply Overview About the Role The purpose of this role is to provide data science support for the Women’s Health Research Unit (WHRU) at the Wolfson Institute of Population Health. This role
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students. Essential selection criteria • A doctoral degree (PhD or DPhil) in chemistry, physics, engineering or other relevant discipline. Post-qualification research experience (Grade 8
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Medical School. The Widening Participation and Outreach Champions will report to the Associate Dean of Medicine and will work closely with each other and with other academic and professional services staff