63 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at THE UNIVERSITY OF HONG KONG
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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
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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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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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. The current publications of Prof. Zhang can be found at: https://scholar.google.com/citations?user=-mbKVoEAAAAJ&hl=en A competitive salary commensurate with qualifications and experience will be offered, in
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expected to take up a leading role to oversee the cohort team. Enquiries about the duties of the posts should be sent to familyco@hku.hk . Information about the School can be obtained at http://sph.hku.hk
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: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate
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to on-campus gyms and libraries. The University only accepts online application for the above posts. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up
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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 December 31, 2025, or until
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. Bing Zhang to conduct research in astrophysics. Recent works of Prof. Zhang can be found at https://www.physics.unlv.edu/~bzhang/. Candidates with research experience and a strong publication record in
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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