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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- Peking University
- Central China Normal University
- Duke Kunshan University
- Fudan University
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- UNIVERSITY OF MACAU
- University of Cambridge
- University of Electronic Science and Technology of China (UESTC)
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that blend industrial design with advanced technologies. He/she will apply expertise in areas such as machine learning/programming, physical ergonomics/cognitive ergonomics, electronics/sensors technology, or
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expertise in areas such as automatic control, mechanics, CAD/ CAE modelling and simulation, actuators/electronics/sensors technology, machine learning/programming, and related fields to drive cutting-edge
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simulation, actuators/electronics/sensors technology, control, machine learning/programming, and related fields to drive cutting-edge mechanical and mechatronics design innovation, taking a hands-on approach
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of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud
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initiatives Cutting-edge research in: AI-driven medical imaging & data analytics Smart healthcare for aging populations Biomedical sensors & intelligent diagnostics Ion channel-targeted drug development Impact
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, physical ergonomics/cognitive ergonomics, electronics/sensors technology, or related fields to drive cutting-edge product design innovation. The role also involves designing and delivering undergraduate and
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storage systems Solid-state battery, high density battery Smart green buildings (including air quality, sensors, well-living and energy saving for the smart urban built environment, etc.) Hydrogen energy
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medicine, biomedical electronics, medical robotics, sensors, instrumentation, brain-computer interface, intra-body communications, and medical imaging. More details about the department are available from
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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data
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performance. Some suggested research topics may include: (i) NISQ algorithms, (ii) quantum simulation of complex many-body systems, and (iii) quantum computational complexity. This list is not intended to be