33 data-"https:"-"https:"-"https:"-"https:" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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possess a Ph.D. degree in Nursing, Psychology, Health Science, Sport Science, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research
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design, manufacturing and automation or a related discipline, with experience in data science, coding, image analysis, and statistical analysis. Previous research work experience in ophthalmology/visual
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of genomics, transcriptomics, proteomics, and metabolomics data, as well as expertise in molecular docking, virtual drug screening, and the application of deep learning and machine learning algorithms
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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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cover letter, a research statement, a teaching statement, and contact information of three referees. Review of applications will start as soon as possible and continue until March 22 , 2026 , or until
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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successful regulatory and ethical conducts, and establishing state-of-the-art infrastructure for clinical assessment, biobanking, and data management that will serve as a cornerstone of medical research in
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involving animal immunization, immune assays, flow cytometry, cell imaging, deep sequencing and data analysis, etc. Enquiries about the post should be sent to the AIDS Institute at aidsinst@hku.hk . A highly
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multicultural students in primary and secondary schools in Hong Kong. He/She will be required to oversee the research timeline, develop data-driven methodology to inform the learning and teaching of Chinese
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition