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The research topic is in the area of experimental and computational hypersonic aerodynamics, and will result in the award of a PhD after 4 years. The funding is through a centre for doctoral
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specialisms, and coordinate stakeholder relationships while optimising internal team dynamics and external partnerships. Critical to this work is understanding how to effectively coordinate technical
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processes, manage technical development across specialisms, and coordinate stakeholder relationships while optimising internal team dynamics and external partnerships. Critical to this work is understanding
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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potential health impacts. Water utilities across the UK, including Anglian Water, are developing strategies to meet new regulatory guidelines and enhance the resilience of water supply systems. Anglian Water
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. Reconfigurable AI-Embedded Systems – Develop adaptive FPGA/ASIC architectures that dynamically reconfigure based on AI workloads, optimising performance, energy efficiency, and functionality. AI for High
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. The control systems developed will be designed to handle these complex dynamics, feeding directly into industrial SBSP and related designs, thus enabling their longer-term plans for commercial SBSP capable
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slow sand filters. This project suits graduates seeking careers in drinking water technology, sustainable infrastructure, and low carbon process design. Drinking water production is under mounting
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within