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Field
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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Cardiometabolic diseases (CVMD), such as heart disease and type 2 diabetes, represent a major global health burden and exhibit stark ethnic disparities. Current clinical prediction models, even
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biological problems. These may include: (1) Understanding how to 'glue' protein complexes together whose interactions are broken in diseases such as breast cancer. (2) Revealing how the most efficient light
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Crohn’s Disease (CD) is a type of inflammatory bowel disease affecting > 120,000 people in the UK. It is a life-long condition often diagnosed in young adulthood. Symptoms include chronic abdominal
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characterize bioactive metabolites produced by bacteria associated with patients with inflammatory bowel disease (IBD) and colorectal cancer (CRC). Human-associated microbes produce metabolites that can have key
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Primary supervisor - Dr Melanie Sloan Project: Flares of autoimmune rheumatic diseases, e.g. lupus, can be life and organ-threatening and significantly reduce quality of life. Identification of warning signs (“prodromes”) of impending flares, including type and progression of symptoms in flares,...
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Primary supervisor - Prof Mark Banfield Like animals, plants get sick, but they have an immune system to fight back against infection. Plant diseases are a threat to food production and a constraint
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project aims to explore techniques that could facilitate experts in the elicitation of priorities. One possible direction could be to use the technique of Inverse Reinforcement Learning (IRL) [2], [3]. IRL
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Introduction Neurodegenerative diseases, such as Alzheimer’s disease (AD) and Parkinson’s disease (PD), affect tens of millions of people worldwide and cause a heavy economic burden on societies
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plant health. This is particularly relevant for take-all, the most devastating wheat root disease worldwide, which can reduce yields by up to 20%. The importance of root microbial community in take-all