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Field
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to date focus on just one layer, understanding what keeps AF going is challenging. This PhD project aims to bridge that gap by combining advanced machine learning tools with a new experimental protocol
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There is a great deal of interest in the nature of QCD, the strong interaction force of particle physics. It has a fascinating personality - in all but the most exotic situations, it confines quarks
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integrating Machine Learning (ML) with physics-based degradation modelling will enhance early fault detection, reducing unplanned downtime. This PhD is hosted at Cranfield University, a global leader in
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at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that can be used to produce high value molecules from lignin rich wastewaters that arise from
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motivated applicant to undertake an original and applied programme of research on the development of community-led approaches to mental wellbeing in Wigan as part of Edge Hill University’s Civic Agreement
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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Eligibility Criteria A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we
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In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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study visa before admission. Eligibility Applicants must hold, or expect to hold, at least a UK upper second-class degree (or non-UK equivalent qualification) in Mathematics, Statistics, Physics, Computer