64 machine-learning "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of
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. Applicants should 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 from January 21, 2026 and continue until February 7, 2026
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opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405787/post-doctoral-fello
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, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https
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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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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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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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for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V, quoting the job reference number, with information on current/expected
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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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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