68 assistant-professor-computer-science-and-data-"U" Postdoctoral positions in Hong Kong
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research related to nanomedicine Manage data collection and analysis Assist in organizing dissemination events Prepare research reports and documentation Perform additional duties as assigned Enquiries about
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Fellow, Research Staff Research Assistant I/II in the Division of Cardiology of the Department of Medicine, School of Clinical Medicine (Ref.: 532134) We now invite applications for the captioned post
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focus on hepatocellular carcinoma. For further information, please contact Professor Guan at xyguan@hku.hk. The appointment will commence as soon as possible on a temporary basis for 1-2 year(s), with
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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Pharmaceutical Sciences, Pharmacology, Biology, Molecular Biology, Biochemistry, Immunology, Bioengineering, Chemistry, Data Science or related fields. Post-doctorate experience preferred. Proven track record in
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competence in philosophy of AI or philosophy of technology are preferred. The appointment will be affiliated with AI & Humanity-Lab: https://ai-humanity.net . The Post-doctoral Fellow is expected
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a Ph.D. degree in Health Science, Sport Science, Psychology, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research dissemination
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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, and in-depth experience with at least
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Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills
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knowledge and/or background in the area. Previous experience in one of the following areas, including assessment and feedback, curriculum design, e-learning, data analysis, and advanced statistical skills