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training to align with the emerging needs of our society and students’ diverse learning interests. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the Department. Duties
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of Artificial Intelligence (AI) into higher education. The appointee will play a key role in advancing PolyU’s strategic initiatives in digital transformation, teaching innovation and AI-enabled learning. Key
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should have: (a) a PhD degree in a related discipline; (b) a strong commitment to excellence in teaching and learning; (c) relevant post-qualification teaching and research experience and an
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the Faculty of Engineering, and it offers a full spectrum of BME programmes, from BSc, MSc to PhD. The team is the first group to offer Biomedical Engineering related undergraduate programme in Hong Kong, and
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an active role in international academic exchange, and engage in services that contribute to the development of the School. Qualifications Applicants should have: (a) a PhD degree in Nursing or a relevant
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Department is available on the departmental website at www.polyu.edu.hk/hti/ . We are looking for a highly motivated personnel with expertise in bioinformatics, neuroimaging, machine learning, mental health
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, management science and statistics, FinTech, data science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at https
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The appointee will be required to: (a) teach and contribute to curriculum development at undergraduate and postgraduate levels in Biomedical Engineering, particularly in sports engineering related subjects; (b
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) and Artificial Intelligence (AI). The Department envisions to cultivate a comprehensive curriculum that encompasses key research pillars such as Big Data Analytics and Management, Machine Learning and
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academic programmes at various levels, including PhD, MSC, BEng and BSc. The Department currently has about 80 faculty members (more than 40 regular faculty members at Assistant Professor and above levels