64 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at THE UNIVERSITY OF HONG KONG in Hong Kong
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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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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-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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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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skills in qualitative research methodology, including experience conducting interviews, focus groups, and thematic analysis Possess technical skills in AI/machine learning, software development
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected