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by Industry 5.0 technologies and human–robot collaboration. Key innovations include Digital Product Passports (DPPs) and data-driven tools to improve lifecycle transparency, alongside methods
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, an innovative initiative funded through the Strategic Alignment of Teaching and Learning Enhancement (SATLE) programme. The successful candidate will contribute to research and planning that enhances doctoral
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understanding, diagnosing and treating diseases caused by A. fumigatus and other fungal pathogens. The PhD student will conduct basic and translational research in a collaborative research environment at the St
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Energy and Environment, and Digital Healthcare. A key objective of Rinn Semiconductors is to foster collaboration across the seven partner universities and institutions, leveraging the semiconductor
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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National Institute, other local collaborators or attendance at relevant regional and national promotional events may be required. Project Background - INTEGRAL: INTEGRAL (Integrated Photonics for Signal
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate