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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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advanced AI/ML methods to neural and behavioural data to uncover the computational foundations of decision-making in humans and animals. Designing novel AI algorithms inspired by brain function, to improve
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record in astrocyte-neuron interaction modelling, published in Frontiers in Computational Neuroscience, PLoS Computational Biology, Neurocomputing, and IEEE Transactions on Neural Systems and
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explore how this programme could also work for children with SEN and complex needs, and engage parents and families more directly. Aim: To explore the impact of a school based PL programme for children with
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opportunities to be active. There are a number of PL programmes to support physical literacy and motor skills in children, however, the next step is to explore how this programme could also work for children with
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through the vessels and how diseases like heart blockages or artery wall damage develop. However, most current computer models used to study blood flow treat arteries as if they are rigid and motionless
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Summary Research Context Positioned within Ulster University’s School of Computing, this research theme focuses on the development of secure, transparent, and ethical artificial intelligence
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charts available within the PreMO risk stratification app (a free cloud-based UKCA and CE-marked application developed by the research team at Ulster University https://myopiaonset.com) to extend its
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., ... & McDonough, S. (2024). Post-rehabilitation programme to support upper limb recovery in community-dwelling stroke survivors: a mixed methods cluster-feasibility controlled trial. BMJ open, 14(10), e088301.
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was established. This is a £55M programme funded by Department of Economy NI and Industry partners, managed by the UKRI Strength in Places programme. This programme is a collaboration between regional Life and