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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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intelligence (AI) models using both online and offline large language models (LLMs) such as GPT, Qwen, DeepSeek, Mistral, Llama, and Gemma. Familiarity with Linux environments is essential, along with advanced
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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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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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academic leadership skills will be an advantage. Interest in artificial intelligence (AI) and big data applications in dentistry is a great merit. The appointee will be responsible for clinical training
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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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
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image analysis skills on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized
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Coordinate clinical studies and trials Manage and analyse large clinical biobank datasets Be exposed to ample opportunities in developing an academic career Perform other duties as assigned Requirements A Ph.D
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degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large