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Field
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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to accommodate their own particular input setup and deciding the best modelling practice. This PhD project will aim at automatic solution development, supporting flexible input setups and addressing in one
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of mesalazine in nanocarriers has demonstrated success in targeting inflammatory regions and treating mild to moderate IBD. This project will investigate the use of polymeric nanocarriers for improving
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formats available in conventional hardware are often too accurate for the needs of machine learning: they do not improve the quality of the trained model but may deteriorate it by causing overfitting
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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, information loss is inevitable, thus it is natural to drop “unimportant” data patterns in a visualisation result. In practice, the desired data pattern and structure to preserve in a visualisation result can
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balanced evaluation of potential climate interventions providing best-practice guidance for the ecological risk assessment of future proposed interventions within the polar marine environment. One potential
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Energy Conference, providing exposure to cutting-edge research and industry networking opportunities. 4. Access to High-Fidelity Simulations – The project will use OpenFAST, FAST.Farm, and Digital Twin
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healthy ageing and exercise is the best preventative measure against dementia. Meanwhile brain blood flow declines as people age (Christie et al. 2022). Therefore it follows that preserving cerebral
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme