14 electric-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at University of Exeter
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and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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decade. This PhD project places you at the forefront of this challenge, developing the tools and insight needed to design the next generation of offshore aquaculture infrastructure. Research Overview
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide
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Fuel cells and water electrolysers are key technologies for the transition to a low-carbon energy system, enabling the efficient conversion between chemical and electrical energy and supporting
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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
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controller designed to enable autonomous systems to operate safely in dynamic environments. Developed in collaboration with SC Group Ltd., with applications to defence autonomous systems, the approach combines
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to design an AI system that integrates scientific knowledge for early dementia modelling, based on large language models and causal inference. The project has two stages: first, to construct a causal
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as anabolic resistance. This study will explore if anabolic resistance is the cause of frailty in ALL survivors in response to diet. The results will guide the design of tailored dietary and exercise
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a