33 cloud-computing-"https:"-"https:"-"https:"-"St" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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excellence. Successful applicants should be comfortable in teaching and supervising in a dynamic international environment. Qualifications and Requirements: A Master’s or Ph.D. degree in Computer
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collaboration and strategic program development in academic or healthcare settings. Preference will be given to candidates with: A proven track record in public health practice, including advisory roles in
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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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, 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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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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to establish an impactful research program and contribute meaningfully to the academic mission of SBME. Candidates should demonstrate promise in teaching and mentoring, a clear research direction aligned with
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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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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in