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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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modelling capabilities for the prediction of energy extraction efficiency, especially focusing on improving the understanding and prediction of the complex flow phenomena, including buoyancy effects in AGS
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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sustainable forest management. Tropical forests host some of the world’s richest biodiversity, yet monitoring and mapping plant species remains a major challenge due to their complexity, the prevalence of rare
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this project unique? You will use cells isolated from human blood and innovative in vivo models in zebrafish to dive deep into the exciting world of RNA biology and immunology, exploring how ELAVL1 regulates
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comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface quality metrics, such as the 'white
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and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies
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adaptable – especially for complex, hands-on tasks. The Challenge: Robots are key players in advanced manufacturing, performing high-precision tasks like fastening, polishing, and complex assembly. But when a
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ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
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join a vibrant, supportive research community (around 20-25 people involved in fluids modelling research). Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental