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, biomedical sensor and AI algorithm for cancer diagnosis. This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one
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responsible for: Developing and implementing AI algorithms to control robot systems Investigating and implementing Bayesian ML methods to quantify decision-making uncertainty Applying the above to industrial
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