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% efficient in this process largely due to proton leak pathways that occur, leading to energy lost as heat. In specialised brown adipose tissue, popularised as ‘good fat’, such heat production is specifically
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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advanced materials processing. Closing date for applications: 2 Dec 2025 with interviews shortly afterwards. Stipend: Full funding for 4 years covering a personal maintenance stipend starting at £20,780
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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lifetime to create a sustainable future. To date much attention has been given to the recycling of plastic packaging but there is a lack of understanding about the required processes for engineering plastics
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the electrical contacts and magnetic field to influence the fault current interruption process. The PDRA will contribute mainly to the arc modelling part of the project and play an active role in organising and
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in the Cloud–Edge Continuum Non-Invasive and Semantic-based IoT stream processing framework with Agentic AI for Next-Generation Trustworthy Wearable and Ambient Systems Trust and Generative AI in Agile
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for a given coastline morphology and flood hazard profile to minimise inland inundation, assessed using coupled CFD and inundation modelling? - How can the optimisation process balance flood reduction
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application process, please consult our PhD programme webpage or apply directly at this link . Before applying, you should carefully review the research carried out by our faculty and contact potential