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of the candidate include (but are not limited to): · Uncertainty quantification · Regularization techniques · Machine learning · deep learning · High‐dimensional statistics · Dimensionality reduction · Causal
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) from ETHZ led by Prof. Marco Hutter to carry out research to pursue a PhD on the following topic: Machine Learning for anomalies/failures detection, identification and prediction on mobile and legged
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PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design for Sustainable Construction, and Sustainable Space.
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conducts research on the application and the impact of emerging technologies like DLT/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT/5G on organisations
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors