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opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405787/post-doctoral-fello
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, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https
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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-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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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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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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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis