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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response in biliary tract and liver
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. Our software tool (MIROR) enables clinicians to analyse new cases and compare with previous cases of known tumour types and offers an AI prediction of tumour type and a confidence score. The researcher
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rapidly translated into our biopsy prevention pipeline with on-treatment samples used to evaluate response and develop predictive biomarkers. You will have a vision for how your research will address key
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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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people-centric predictive digital technologies to improve disaster and climate resilience) project aims to develop and implement an end-to-end people-centred computational framework (and accompanying
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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oncology clinic where they can work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response
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disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction of clinical trial outcomes (e.g. doi: 10.1038/s41467-024-53065-z). Given
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will also address structural powerplant design and integration, refining computational methods to use high-fidelity aerodynamic data for accurate load prediction and system-level design decisions. About