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data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating
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information about the Faculty can be found at https://facdent.hku.hk/. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of
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-to-date C.V., with the contact information of at least 3 referees. Review of applications will start on Jul 14, 2025 and continue until Sep 19, 2025, or until the post is filled, whichever is earlier.
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a Ph.D. degree in Health Science, Sport Science, Psychology, Public Health or Gerontology preferably with experience in coordinating research projects, data management, and research dissemination
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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assist the Principal Investigator in managing research projects and be responsible for literature review, data collection, data analysis, preparation of presentations, drafting proposal and reports, and
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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research outcomes, data collection, management, analysis and interpretation, preparing research reports and research papers, training research assistants, and performing other duties as assigned. A highly