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to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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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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University of Reading's hub for doctoral activity. The student will also hold an honorary post within the University Departments of Radiology and Nephrology at the Royal Berkshire Hospital. This PhD offers
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. The student will develop test protocols, in this highly interdisciplinary project, by leveraging collaborations across various Swansea University facilities to use DIC in both biomechanics labs and simulated
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only for up to 4 years full-time or up to a maximum of 6 years if studying on a part-time (0.5 FTE) basis How to apply: Send a copy of your CV and a 300-word statement about why you are interested in
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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response timelines. Building on this foundation, the project will apply scenario modelling and simulation techniques to investigate emergency event propagation, routing strategies, vehicle-task assignment
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self-motivation. Informal enquires may be addressed to Professor Tze Pei Chong by email to t.p.chong@brunel.ac.uk How to Apply Please e-mail your application comprising of all the documents listed below
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suitability for the position, the contacts of two referees and a curriculum vitae. Please send a copy directly to Dr Zhong-Nan Wang (z.n.wang@bham.ac.uk ). Funding details: The PhD project is expected to start