173 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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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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) 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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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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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
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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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should apply online, upload an up-to-date C.V. and provide contact information of at least 3 referees. Review of applications will start as soon as possible and continue until March 10, 2026 , or until
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for the above posts. Applicants should apply online and upload an up-to-date C.V. with contact information of at least three referees, and statements of teaching and research. Review of applications will start
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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