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interdisciplinary Future Health Technologies (FHT) research programme at the forefront of agentic AI in healthcare. The project aims to design, develop, and evaluate AI-driven coaching and nudging systems
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from
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Intelligent Systems at ETH Zurich is inviting applications for several doctoral positions. Our lab's goal is to build, model, and control robots in a fundamentally different way, so that they become more
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