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and purely data-driven methods, which often lack robustness, interpretability, and reliability in uncertain and noisy conditions. To overcome these challenges, the PhD will explore multimodal sensor
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environmental and climate change. The research will explore how environmental variables and emerging observation technologies can be combined to improve the long-term reliability, responsiveness, and usability
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-based approaches often lack principled uncertainty quantification, limiting their reliability in healthcare applications. This project aims to develop mathematically grounded methods based on probability
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