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-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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) will be trained to map microarchitectures to mechanical properties. Advanced graphing and optimisation algorithms would allow the intelligent placement, positioning and electric circuitry routing between
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insulation systems becomes critical to maintaining performance, reducing downtime, and extending asset life. Generator stator windings typically comprise multiple sub-level insulation systems, including Main
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magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale