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related discipline. Strong background/skills on machine learning, mathematics, probabilistic modelling and optimisation are preferred. To apply please contact the supervisor, Dr Mu - Tingting.Mu
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Application deadline: All year round Research theme: Control systems and theory, Applied Mathematics How to apply:uom.link/pgr-apply-2425 Number of positions: 1 Open to: UK This 3.5 year project is
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How to apply: uom.link/pgr-apply-2425 No. of positions: 1 Eligible for: UK students This 4-year PhD project will be funded by DLA studentship. UK students and EU students with settled status
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will need to contact the project supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select PhD in Mechanical Engineering on the Programme Choice page. You
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
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specific details under the 'Prob_AI' heading: PhD Projects | School of Mathematics The Prob_AI Hub aims to bring together researchers in Applied Mathematics, Probability, and Statistics to tackle challenges
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Harnessing ecosystem resilience to inform woodland restoration
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research