184 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
papers. Review of applications will start from March 30, 2026 and continue until July 29, 2026, or until the posts are filled, whichever is earlier. Where to apply Website https
-
advertisement (Ref: 532606) need not re-apply. 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
-
Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
continue until February 13, 2026, or until the post is filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405915/post-doctoral-fello… Requirements
-
-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
-
. 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
-
University Rankings by Subject 2025). Further information about the Korean Studies Programme is available at https://korean.hku.hk . Enquiries may be directed to Professor Su Yun Kim, Programme Director at
-
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
-
post(s). 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 as soon as possible and continue until
-
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
-
advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection