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the university, genomic and metabolomic measures, offering novel potential to explore the physiological basis for imaging measures and apply machine learning in a radiological context. You will join an established
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in this state-of-the-art facility for advanced electrical machines for power generation, marine, aerospace and automotive industries. About You Candidates should hold or be shortly due to obtain a PhD
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and machine learning, uncertainty quantification, Bayesian non-parametrics, image analysis, geometric statistics, and stochastic processes with an internationally leading research group in epidemic
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(Sommerschield et al. 2023 ‘Machine Learning for ancient languages: A survey’, Computational Linguistics, 49.3) mean that it is time to test the latest digital tools (e.g. GPT-4o) to undertake four main tasks
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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PhD Project: 3D-printing next-generation electro-actuators for soft robots and devices Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive