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, the project will develop machine learning based solutions for predictive grid analytics (such as grid congestion forecast, asset monitoring, etc.). Based on these results, the project will develop
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. The subsequent data will then be used to populate machine learning models to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims
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. The subsequent data will then be used to populate machine learning models to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims
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. This project aims to establish provable guarantees for Human-GenAI-Alignment by integrating statistical methods with adversarial methods. For example, by leveraging PAC methods and conformal prediction, we can
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. Low-power AI is crucial in this context, enabling continuous link monitoring and decision-making without exhausting limited satellite energy resources. The AI models will predict potential failures and
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the opportunity for the PhD student to lead the development of innovative simulation tools that predict Litz wire behaviour across electrical, thermal, and mechanical domains. Supported by the MTC’s advanced wire
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require new insights into the physics at play, informing and enhancing models describing industrial and environmental flows. This will enable higher quality prediction, and for hazardous currents will
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, the digital twin will replicate the gastric environment’s response to different pharmaceutical dosage forms. This will enable detailed predictions of disintegration and dissolution profiles, informing
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, a state-of-the-art process-based model for groundwater risk assessment and contaminant transport modeling. By improving predictive modeling of transient contaminant source terms, this research will
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efficiency, predictive maintenance, and effective production planning and scheduling. These advancements are critical to achieving higher productivity, minimising unplanned downtime, and ensuring optimal