68 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at THE UNIVERSITY OF HONG KONG
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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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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
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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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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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institutions and companies. Please find more details for research projects under Professor Honglin Chen’s lead at https://hub.hku.hk/cris/rp/rp00383 . Those who have responded to the previous advertisement (Ref
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, or a related field. Candidates must possess relevant research experience in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record
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leave and medical benefits. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants should apply online and upload an up
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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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, 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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under Professor Honglin Chen’s lead at https://hub.hku.hk/cris/rp/rp00383 . Those who have responded to the previous advertisement (Ref.: 526990) need not re-apply. A highly competitive salary