52 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" research jobs at THE UNIVERSITY OF HONG KONG
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10 Jan 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Chemistry Researcher Profile Recognised Researcher
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
Kong Application Deadline 13 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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 March 31, 2026 or until
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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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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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: 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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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
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. Qualifications a) Education: Ph.D. in Automation, Industrial Engineering, Systems Engineering, Computer Science, or a closely related field. b) Technical Skills: Strong programming proficiency is required. c