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, focusing on the commercialization of R&D outcomes, with support from government, industry, and academia. The appointee will be responsible for overseeing the progress of the research project, conducting data
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, upload an up-to-date C.V. and provide the contact information of at least 3 referees. Review of applications will start from May 4, 2026 and continue until June 30, 2026 , or until the posts are filled
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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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