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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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-like structure. These mysterious signature properties are ubiquitous across science and engineering, with examples ranging from optical fibres to novel formulations of pharmaceutical drugs and beyond
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is an interdisciplinary PhD in Engineering from
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will deliver the first comprehensive CFD-DEM
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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This PhD is part of the The Fusion Engineering Centre for Doctoral Training (CDT), at the University of Nottingham and has industrial collaboration, being co-supervised by a member of staff at
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Element Method (CFD-DEM) model to simulate and optimise the high-temperature chlorination process used by Krystal Technology Ltd, a UK-based leader in high-purity quartz production. This project will