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sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
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international, interdisciplinary team. Applicants should hold a good honours degree (or equivalent) in computer science, engineering, or a related field, with strong programming skills in Python and familiarity
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
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will play a central role in supporting key policy priorities for the Department for Science, Innovation and Technology (DSIT), the government department responsible for the AI Opportunities Action Plan
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subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable
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teaching of our healthcare programmes (including nursing). We are looking for a person with an interest in developing the use of state of the art simulation based technology to enhance the delivery
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme