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to develop and analyse implementable, fully discrete methods for function approximation, density estimation, and/or time-dependent PDEs or SDEs in high dimensions, with links to UQ and theoretical
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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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Project advert The impact of alopecia is highlighted in the Global Burden of Disease estimates of years lost to disability, where alopecia areata (AA) was ranked higher than both psoriasis and
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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-Physical Systems research theme, focused on improving quality of life through cutting-edge technology. The research aims to design context-aware multimodal AI methods to understand and model human behaviours
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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by developing AI methods that improve recognition of rare species while providing reliable measures of uncertainty. Using state-of-the-art computer vision approaches — vision transformers, self
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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to neurodevelopmental conditions caused by prenatal alcohol exposure, with a UK prevalence estimated at 3.2%, among the highest globally. Individuals with FASD commonly experience challenges with learning, memory
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, and play an important part in accelerating the progression towards net zero in the UK and globally. In this PhD project, the student will lead on computational methods, including molecular dynamics (MD