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skills s/he will acquire in this project. Methods to be used: This project will include an opportunity for a placement in the Microbiology Group in UU. This will include an opportunity to meet and shadow
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for stress-testing. Training spans multi-agent reinforcement learning, evolutionary computation, adversarial machine learning, game-theoretic modeling, and financial crime compliance. You will design agent
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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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health. Conduct a human intervention study to assess the efficacy of a very long chain polyunsaturated fatty acid supplement on signs and symptoms of dry eye. Methods to be used: A parallel randomized
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marine-derived lipids. Conduct a human intervention study to assess the efficacy of a novel marine lipid blend for improving indicators of cardiovascular and metabolic health related outcomes. Methods
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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