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for the program with expertise in (but not limited to) AI in medicine, biomedical electronics, medical robotics, sensors, instrumentation, brain-computer interface, intra-body communications, and medical imaging
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research, product development, digital manufacturing, ergonomics, human-computer interaction, and service design. Through studios, field research, and international exchange projects, students acquire solid
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of interdisciplinary AI and data science are also encouraged to apply: (1) AI for Science, including AI/ML for scientific discovery, foundation models for science, scientific machine learning, and AI applications in
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bring together four existing departments from the Faculty of Science and Technology, including the Department of Civil and Environmental Engineering, the Department of Electrical and Computer Engineering, the
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, foundation models for science, scientific machine learning, and AI applications in materials, chemistry, biology, healthcare, simulation, or hypothesis generation; (2) AI for Society, including AI and data