29 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at THE UNIVERSITY OF HONG KONG in 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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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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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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’ 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