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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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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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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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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
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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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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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strength-to-weight ratios, making them central to the development of a more sustainable industry. However, under extreme environments and loading conditions (high strain-rate, temperature), these materials
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species are difficult to observe. Conventional monitoring can be time-consuming and require a high level of training, while eDNA (environmental DNA) analysis can be expensive, time-consuming, and require
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BASF, you will gain insight into ecological risk assessment, landscape-scale modelling and regulatory contexts. Cranfield University offers an advanced modelling environment, high-performance computing