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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
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availability and satisfactory performance. Applicants should possess a PhD degree in kinesiology, exercise science, public health or related disciplines. Applicants should have a strong sense of responsibility
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28 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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well as in a team. Experience in healthcare data analysis and related track records of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project
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management tools. This role involves designing and executing large-scale epidemiological studies using EHR data, overseeing clinical data annotation/processing from public and Hospital Authority sources, and
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correlates of protection, analyse large and complex datasets, and perform other duties as assigned. The Post-doctoral Fellow will work semi-independently under the supervision and mentorship of senior academic
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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of publishing academic research papers is highly preferred. The appointee will work on healthcare big data related project; carry out administrative work; supervise research-support staff and work in
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating