65 machine-learning "https:" "https:" "https:" "The Open University" "The Open University" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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Ref.: 533588 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow/Senior
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Ethics Lab: https://www.hkethicslab.com . The post-doctoral fellow is expected to participate actively in the work of the Hong Kong Ethics Lab. Applicants should submit project proposals (max 5 pages
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to on-campus gyms and libraries. How 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
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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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anticancer therapeutics. The appointee will have a good opportunity to learn and perform state-of-the-art research for drug target identification and drug development. Enquiries about the duties of the post
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chemoproteomics to discover new druggable hotspots in liver cancer, which can facilitate the development of novel anticancer therapeutics. The appointee will have a good opportunity to learn and perform state
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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 April 30, 2026, or until the post(s) is/are filled
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the Lab, please visit the Lab webpage at https://neurotlee.hku.hk/ . For enquiries about the position, please contact Professor Tatia Lee at tmclee@hku.hk . A highly competitive salary commensurate with
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model