63 engineering-computation-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Hong Kong
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philosophy, social philosophy, aesthetics, and other cognate areas). This appointment will be affiliated with the Hong Kong Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 534195 Work type: Full-time Department: The Hong Kong Jockey
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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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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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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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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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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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Bachelor’s degree or above in Psychology, Social Sciences, Public Health, Nursing, Medicine, Computer Science, Information Technology, Health Informatics, Education or other related disciplines; with at least
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or