55 parallel-processing-bioinformatics-"https:" research jobs at THE UNIVERSITY OF HONG KONG
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online at the University’s careers site (https://jobs.hku.hk ) and upload the following documents: a cover letter; an up-to-date C.V.; an official Ph.D. certificate (if available) and/or transcripts; a
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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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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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about the School can be obtained at http://sph.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits
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School can be obtained at https://sph.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University
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, but advises that only candidates shortlisted for interviews will be notified of the application results. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406726/post-doctoral
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soon as possible and continue until February 11, 2026, or until the posts are filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406532/post
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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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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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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images