57 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at THE UNIVERSITY OF HONG KONG
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, and is recognised as the 4th most international university in 2025. Home to ten disciplinary Faculties (Architecture, Arts, Business and Economics, Dentistry, Education, Engineering, Law, Medicine
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disciplinary Faculties (Architecture, Arts, Business and Economics, Dentistry, Education, Engineering, Law, Medicine, Science, and Social Sciences), the University is committed to fostering interdisciplinary
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Institute of Marine Science (SWIMS) at the University, providing academic leadership by developing a world-class research programme, mentoring junior staff and students, and contributing to teaching at both
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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years of full-time teaching experience at the tertiary level. Preference will be given to candidates with expertise in teaching and programme development in the philosophy of AI and AI ethics. Experience
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Ref.: 533742 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Microbiology, Bioinformatics/Computational Biology, or a related
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delivering knowledge exchange within local and international communities. They should also have experience in curriculum development and program leadership. They should demonstrate a strong and cross
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other stakeholders. A good network within Hong Kong’s public/ private healthcare sectors and/or NGOs, with potential teaching partners for the Medical Humanities programme, will be considered a strong