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- City University of Hong Kong
- LINGNAN UNIVERSITY
- HONG KONG BAPTIST UNIVERSITY
- THE UNIVERSITY OF HONG KONG
- Nature Careers
- The Hong Kong Polytechnic University
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- CHINESE UNIVERSITY OF HONG KONG
- Hong Kong University of Science and Technology
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The Chinese University of Hong Kong
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Field
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transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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machine learning and operations research. b) The applicants are expected to deliver research outcomes to our industry partners, to support practical applications in semiconductor manufacturing. c
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-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning
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are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health communication, employing mixed methodologies (e.g., experimental, computational, and
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach these topics from perspectives such as human-machine communication, mobile communication, and health