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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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some of the biggest challenges in medicine today? Join us to explore groundbreaking science that could revolutionize how we treat inflammation-driven age-related diseases and promote healthier ageing
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programming and/or CFD are desirable but not essential. The student is expected to present their research outcomes to the project team/sponsors on a regular basis in both written and oral formats. How to apply