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electricity and water to run washing machines. Improving the sustainability of these everyday processes is essential for meeting net-zero targets and reducing environmental impact. High-performance laundry
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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There will be opportunities for short research exchanges or secondments to gain hands-on experience in specialised structural biology or computational laboratories (supported by High Performing Computing
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funded doctoral training programme (MRC DTP) PhD studentships . Students are based at UoS or QMUL researching topics, including cancer, neurological, inflammatory or infectious diseases, antimicrobial
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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-performance computing, simulations, and computational methods in physical sciences. Informal enquiries should be directed to the project supervisors, Dr Cillian Cockrell (Bangor University, NFI – c.cockrell
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Primary supervisor - Dr Edwin Ren Autonomous Aerial Systems (AASs), commonly known as drones or UAV, are rapidly advancing in capability, enabling them to perform a wide range of urban tasks such as
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catalytic performance. Applications include enhanced electrochemical sensing, field-responsive coatings, and energy-harvesting architectures. The candidate will use advanced fabrication, microscopy, and
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project