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subject to University approval. The Department of Physics has a large group of researchers working in physics and astronomy. The Astronomy and Astrophysics group has diverse research interests, including
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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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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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, proactive facility management, building/city health check, and next-generation BIM and digital twins. Having expertise in leveraging advanced digital methods, big data analytics, machine learning, generative
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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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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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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