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Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 3 referees to send reference letters to Prof. Wang YAO by email (wangyao@hku.hk ) directly. Review of applications
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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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addition to annual leave and medical benefits. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants should apply online and upload an up
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. Enquiries about the duties of the posts should be sent to Mr. Eric Yip at yiperic@hku.hk . Information about the School can be obtained at https://sph.hku.hk/ . A highly competitive salary commensurate with
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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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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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; manage on-going research projects on ovarian reconstitution; publish original research articles in high-impact journals; and secure external competitive grants. A highly competitive salary commensurate
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic