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the complex, specialist and technical information in the assessment reports and other medical evidence, to the student, ensuring they gain insight into their diagnosis and its potential effect on their learning
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, reasoning, neural network quantisation, on-device machine learning, and benchmark development. About the research group. Machine learning (ML), or “AI” as it is referred to by the media, has been the driving
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provide support to triage complex enquiries. This post may include some weekend and evening work. We want you to be able to carry out your work in a way that best supports UON and our students, but also you
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identify new opportunities Build a comprehensive network/database of contacts within allocated Schools/Departments in the University’s Faculty of Life Sciences and relevant research Institutes. Build a
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analytical and problem-solving skills. Appropriate and relevant experience of being a team leader in a complex organisation is required, and you will have an aptitude and willingness to contribute. In return
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. This covers topics such as uncertainty quantification and reliable decision-making, multi-agent systems, reasoning, neural network quantisation, on-device machine learning, and benchmark development. About the
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to everything we do. We have an active People and Culture network, Equality, Diversity and Inclusion and Women in IT group, bi-annual making IT happen awards recognition programme, and a superb Social Committee
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or postgraduate level, commensurate with career stage in one or more of the following curriculum areas: Mathematics Data Science Machine Learning Statistics Ability to communicate complex information effectively
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to a multi-disciplinary understanding of conflict, war, security and defence issues in an increasingly complex and uncertain world. We are home to large and diverse community of specialists in strategic
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Experimental Cancer Medicine Centre (ECMC) is part of a network of 17 adult and 12 paediatric locations across the UK. The foundation of each ECMC is a partnership between the local NHS Trusts and the University