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Field
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machine-learning techniques in ST studies. Our approach introduces two innovations: developing sparse Bayesian learning algorithms for efficient small dataset analysis and designing a simulator for
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, efficient machine learning. The project aims to theoretically understand why machine learning models perform well and/or design efficient and robust algorithms in trustworthy machine learning. The topics
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. The primary focus of track design is often on isolating ground vibration rather than addressing rolling noise, interior noise within railway vehicles or wheel/rail wear issues. In practice, there is often a
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Research Centre (HTRC) located in Ansty Business Park. The team comprises ~100 personnel including Rolls-Royce Design and Manufacturing Engineers, University of Birmingham Academics, Research Fellows, and
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the impact of hybrid electric propulsion and system architectures on the design and performance of future zero-emission aircraft. Engage in electric power distribution, motor and power electronic sizing
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pressure ratio is extremely important in the design of high-speed vehicles, especially missiles. Minor changes in pressure ratio and open area ratio can significantly impact the propulsive efficiency of a
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. The PhD will involve co-design and investigation of the feasibility and acceptability of conducting a full-scale cluster-randomised controlled trial of VBA, for healthcare professionals to assist
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additional innovation is needed. Scaled physical modelling of FOWT is a critical stage in the development of new design innovations, but represents a significant challenge. Hydrodynamic loads applied
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health in the first years of life. The research is funded by UK Research and Innovation through a fellowship award held by Dr Christine O'Farrelly. The overall programme of work addresses key research
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Plasmodium parasites. You will fabricate and test different device designs using soft lithography, load them with Plasmodium infected red blood cells, and use video microscopy to follow uninfected and