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, the work package associated with this position is led by Professor Mark Dras in the School of Computing, within the Faculty of Science and Engineering. Professor Dras leads a very active AI research
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University, the work package associated with this position is led by Professor Mark Dras in the School of Computing, within the Faculty of Science and Engineering. Professor Dras leads a very active AI
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datasets to train effectively. In practice, acquiring high-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often
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datasets to train effectively. In practice, acquiring high-quality spectral data from wet-lab experiments is expensive and time-consuming. Furthermore, relying on a single spectral modality often
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- potentially offer great advantages over general purpose VLMs for a range of reasons. However there are fundamental questions over their performance and suitability for deployment inside healthcare, and
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- potentially offer great advantages over general purpose VLMs for a range of reasons. However there are fundamental questions over their performance and suitability for deployment inside healthcare, and
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Contribution The research aims to develop a robust, interpretable and generalisable AI framework for cardiovascular risk prediction and clinical decision support. The study will consider model performance
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Contribution The research aims to develop a robust, interpretable and generalisable AI framework for cardiovascular risk prediction and clinical decision support. The study will consider model performance
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interpretation of the research data, in experimental design and performance, and in contributing to attaining project milestones. You will provide support to the advancement of the research area and publish