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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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innovative solutions to protect modern digital infrastructure from emerging network threats. Despite its young age, the lab has an excellent track record of publications in top-tier security and blockchain
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. The object of our studies is to gain a fundamental understanding of this incredible family of glycans, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new
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eye tracking, we will study how people coordinate and interact within these settings. The project is carried out in collaboration with partners at RWTH Aachen University and the University of Rennes
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the project. Project Objectives Characterise the surface properties of reclaimed carbon and glass fibres from different sources and with varying processing histories. Investigate suspension behaviour, including
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, actionable outputs, even in resource-limited settings. Confocal Raman spectroscopy is capable of detecting chemicals with minimal sample treatment, non-invasively. The primary objective of this project is to