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marine situational awareness but their capabilities and their performance limits are yet to be explored. Such capabilities include: Smaller form factors: Thus enabling the deployment of Unmanned Aerial
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-performance computing and in programming. They will also receive a firm grounding in rheology, statistical mechanics and the use of Machine Learning techniques. Impacts: • Improved predictions of the properties
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concept to testing using advanced computational mechanics, machine learning, and data analytics. With over 20 PGR students and Research Staff, the Lab delivers high-quality research outputs and works
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into 3 dimensional environments. Potential applications include in-orbit satellite applications, where maximising thermal performance of waste heat transport from discrete, high heat flux heat sources is
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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enable more targeted mitigation measures. Your investigation of this research question will be principally numerical, employing computational fluid dynamics to produce high resolution simulations which
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full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time. Continuation
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Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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during their PhD studies. Concrete-filled double skin steel tubular (CFDST) sections offer superior structural performance for wind turbine towers due to their enhanced strength, ductility, and material