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Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one
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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should
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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
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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1, 2025 or as soon as possible, for one year, with the possibility of renewal subject to satisfactory performance) Applicants should possess a doctoral or master’s degree in Education, the Learning
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in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record of publications in top Actuarial Science, Mathematical Finance
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
organizational skills and the ability to work independently and collaboratively within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be