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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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exploration to enable efficient mapping of unknown environments. Emphasis will be placed on leveraging SatCom connectivity and heterogeneous sensor data and real-time decision-making to adapt to complex
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manipulations for complex tasks. The tasks will first be decomposed into sub-tasks and then refined through causal reasoning. VLMs will enhance perception and planning, enabling robots to interpret
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considerably heavy in terms of computational resources and complexities. The common techniques for reducing computational resources include, for example, solving ordinary differential equations (ODEs) in
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the integrity of infrastructure such as pipelines and process plants. Traditional inspection and monitoring methods often face limitations when dealing with complex pipework and constrained geometries
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billion by 2028. Polymer nanomaterials are an important nanotechnology because of their versatility and ability to be customized for specific functions. These complex materials require significant
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manufacturing methods, such as autoclave or oven curing, are energy-intensive, costly, and often impractical for large-scale or complex structures. This PhD project aims to develop next-generation, energy
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explore the nonlinear structural dynamics of LGSs to fully understand the complexity of their control. They will use this foundation to explore idealised and realistic control laws to virtually “stiffen
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in high-load fusion environments needs rigorous analysis. Brazing is another potential technique, particularly for complex geometries, though existing data highlight challenges such as V44 substrate
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and