61 processor "https:" "https:" "https:" "University of St" Postdoctoral positions in Hong Kong
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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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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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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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transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406169/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company
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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
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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
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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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Ph.D. degree in Epidemiology, Biomedical Sciences, Computer Science, Data Science, or related disciplines. A proven track record in peer-reviewed publications and research experience in computer graphics
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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
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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