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Modelling (MLM), and latent profile analysis. Experience in managing projects, implementing large-scale surveys, and analysing large datasets are relevant strengths. The appointee should also have a high
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mining, epistemic network analysis and cluster analysis. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee
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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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of research activities and logistics arrangement for the project implementation; (d) monitor and follow up on the progress of the project; (e) develop and implement the data collection instruments (both
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a
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- “Unveiling the hidden fees: The impact of information disclosure on the real estate market”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; (b) advanced
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Professor. The Department has a wide range of research facilities and with access to a large comprehensive teaching hospital. The establishment provides a good environment for basic as well as clinical
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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experience working with unstructured data, such as LinkedIn data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and