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)." Successful applicants for this position will have the opportunity to work on cutting-edge research at the intersection of reinforcement learning (RL), world models, embodied intelligence, and human learning
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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quantitative and qualitative evaluations of AI models in simulated and real-world clinical scenarios. Integrate imaging, diagnostic reporting, and clinical data into a cohesive platform for intelligent diagnosis
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and