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their second year. They will then design catalytic and characterisation experiments that test the ability of catalytically active plasmonic nanoparticles towards low temperature, sunlight-assisted carbon dioxide
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complimentary computational studies to predict the intake aerodynamic characteristics and aid in the experiment design. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based
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Project details: Noise pollution is a growing environmental issue and has become the second-largest environmental cause of health problems in Europe, just after air pollution. Among
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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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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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Supervisory Team: Leonardo Aniello, Han Wu PhD Supervisor: Leonardo Aniello Project description: Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is expected to become a primary
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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contribute to ongoing cancer risk modelling projects within the Centre for Cancer Genetic Epidemiology (CCGE), based in the Department of Public Health and Primary Care. They should have a strong understanding
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Supervisory Team: Dr N.C. Townsend, Prof A. Murphy PhD Supervisor: Nick Townsend Project description: In this PhD project you will explore novel wave energy harvesting systems for maritime robotic