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in Generative AI and Education. This position is ideal for a scholar passionate about exploring how emerging artificial intelligence technologies can advance education and deepen our understanding
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position supervised by Prof. Xuanhe Zhao. This position will entail the following technical responsibilities: 1, Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data. Perform image
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agents (robots in 3D environments) and adaptive learning systems (AI tutors that model and guide human learners). Develop learner models and content-recommendation policies that estimate a student's
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collaborators. • Maintain laboratory records, prepare technical reports, and contribute to publications and presentations. • Ensure compliance with laboratory safety procedures and good research practices.
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closely with end users, educators, researchers, developers, and community partners to understand user needs, translate research insights into prototypes, and evaluate the usability, accessibility, and
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cardiovascular monitoring and health assessment. 2, Develop multi-physics simulation frameworks for the design and optimization of ultrasonic transducer arrays and acoustic beamforming. Apply advanced optimization
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at I²R and NTU. The key focus areas of this position include: 1. Reflex and Habitual Action Generation Develop closed-loop motor-control policies that map robot proprioception, force-torque, and tactile
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other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing
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by professors from MIT and Singapore. This position will entail the following technical responsibilities: 1. Develop wave-based multiscale modelling frameworks to characterize acoustic metamaterials
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At Building Robotics Laboratory, we develop state-of-the-art sensing, learning and control systems for energy efficient, human-centered, comfortable and healthy environments. Building Robotics lab