166 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at THE UNIVERSITY OF HONG KONG
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about the Department can be obtained at http://www.eee.hku.hk/.  ; Duties and Responsibilities The appointee will primarily teach postgraduate courses and work closely with the Department to manage
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to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and
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engineering school and active electrical and electronic engineering programmes. The EEE Department offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http
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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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and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one workshop on the analysis of Chinese paintings. Travel to attend conferences, present papers, and share
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the ability and willingness to teach undergraduate and postgraduate courses in statistics and research methodology. The appointee will be responsible for teaching postgraduate and undergraduate courses
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, experience in clinical teaching/supervision, and fluency in Cantonese will be an advantage. The appointee is expected to teach and supervise postgraduate students as well as contribute significantly
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-specific practical Chinese language courses to undergraduates across all faculties within the University. For more information about the CLEP, please visit https://www.clep.hku.hk . Applicants should meet
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. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405707
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apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2026, or until