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EngD Studentship in the EPSRC Centre in Doctoral Training (CDT) in Innovation for Sustainable Composites Engineering This opportunity adds to the portfolio of projects within the new CDT
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electromagnetics laboratories; Experimental platforms for optical (light-based) computing; A collaborative research environment across mathematics and engineering. Candidate profile You do not need experience in all
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on developing the simulation models, data models and algorithms required to enable connected cross-disciplinary design and optimisation, laying the foundations for more integrated and intelligent engineering
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fields ranging from materials science and biology to cultural heritage and forensics. Standard high-quality imaging requires a full 180 or 360-degree rotation of an object to acquire a massive number of
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requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
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crystal plasticity and fracture, with bulk-scale processes like powder flow, compression, and tablet formation. The project will harness open-source software, including MercuryDPM for discrete particle
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the sustainable packaging of granular and complex fluid materials through virtual prototyping. By coupling the open-source software MercuryDPM for discrete particle modelling with oomph-lib for the simulation
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Power Systems research group, and supported by the University’s Research Software Engineering team, you will advance the development and enhancement of modelling and dynamic simulation frameworks
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will need to meet the minimum entry requirements for our PhD programme . We welcome applicants from Computer Science, Games Technology, Digital Media, or related disciplines. You should have some of the
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in a national context? What value should be placed on developer, player, and media judgements of what should and should not be collected? Institutional What principles should be applied in determining