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of food. The doctoral candidate is expected to master a range of methods and techniques to deliver this research, including online and in-person surveys, behavioural experiments, and advanced
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develop AI-driven methods for optimising disease surveillance and intervention strategies in dynamic, real-world settings. We will design an active disease surveillance and control framework based on a
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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