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integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is knowledge of microfluidic automation, including actuators like pumps, valves, and
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). Additionally, they should showcase experience in prototyping, debugging, and testing integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is
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data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable
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of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in programming languages such as C/C++, MATLAB
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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable
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. Requirements Ph.D. in Civil Engineering. Minimum of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in
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. Opportunities for career development and networking. Competitive stipend and benefits. The chance to live in Hong Kong renowned for its quality of life and cultural activities. How to Apply and required documents