11 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at Imperial College London in United Kingdom
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to: http://www.imperial.ac.uk/research-and-innovation
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news/articles/medicine/school
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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on the role please contact Dr Yunjie Gu yunjie.gu@imperial.ac.uk. To apply, please visit our website: https://www.imperial.ac.uk/jobs/ You will find this vacancy by searching either the position title or job
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, Department of Brain Sciences (https://www.imperial.ac.uk/people/n.skene ). Today, over 1 million people in the UK are living with dementia and related neurodegenerative disorders, such as Alzheimer’s and
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. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches, into simulation design. Conduct
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will