30 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at THE UNIVERSITY OF HONG KONG
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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evaluations, if any, and (7) contact information of at least three referees. Review of applications will start as soon as possible and continue until May 29, 2026 , or until the post is filled, whichever is
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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) in implementing research projects on mental health, and be responsible for data collection, data analysis, preparation of presentations, drafting proposal and reports, and performing any other duties
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel biomarkers and therapeutic targets. Prepare high-quality manuscripts
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to address challenges in public health, global health, One Health and Planetary health and those with experience in the use of advanced epidemiologic and/or experimental approaches or the use of big data
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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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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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’ self-directed learning and Chinese online reading competencies. He/She will assist the Project Leader in overseeing the research aspects of the project, analyse quantitative and qualitative data and
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science approaches. The appointee will play a key role in advancing the Faculty’s offerings in Computational Social Sciences (CSS), Master of Social Sciences in Social Data Analytics (MSDA) and Maser