79 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St"-"St"-"St" positions at Ulster University in United Kingdom
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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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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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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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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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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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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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reinforcement in both the site of the insertion of the tufting yarn and between the tufts, whereas z-pinning does this at the site of insertion. 3D wovens involve layering and interweaving fibres in a computer
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, and high-field NMR, using Ulster’s state-of-the-art facilities and Northern Ireland’s High-Performance Computing (NI-HPC) resources. You will gain skills in: * Generative AI for structure prediction
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Summary This research theme investigates how artificial intelligence, multimodal sensing, and spatial computing can be harnessed to improve early detection and monitoring of neurological and mental