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to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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of Bristol by 23 January 2026. To make an online application go to http://www.bris.ac.uk/pg-howtoapply . Please select History PhD on the programme choice page and September 2026 as your start date. Enter
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on the programme choice page and September 2026 as your start date. Enter details of the scholarship when prompted in the Funding sections of the form (Choose ‘Other’ and enter ‘Hong Kong History Centre’, enter 100
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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://www.bris.ac.uk/pg-howtoapply . Please select Mechanical Engineering (PhD) on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections