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Field
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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graduate to work full time on a 27-month Knowledge Transfer Partnership (KTP) to develop an advanced aftermarket sensor-led condition and monitoring solution upgrade for the EDM engineering processes
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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Responsibilities Participate in the research project to design a microgrid controller for grid interactive building applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV
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are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The second goal is to develop methods that handle the increasing
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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variables against expert judgement to determine which variables should enter causal estimation as confounders, and evaluate competing causal discovery algorithms across multiple datasets. Third, it will task
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Technology Centre (MTC). You will push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling - with relevance to additive