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) assist in project management, data collection, and data analysis; (b) assist in writing the code for experiments with Large Language Models; and (c) perform any other duties as assigned by
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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- “AIoT-enabled explanations for healthcare: An exploration on user acceptance & trust”. He/She will be required to participate in the training and optimisation of large language models (LLMs) and
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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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research using big data. He/she will be expected to take a leading role in overseeing research projects and supervising junior research staff. Enquiries about the duties of the post should be sent to Prof
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the research project - “Uncovering the dynamical landscape of shipping networks through big data analytics”. Qualifications Applicants should have: (a) a good honours degree or an equivalent qualification in
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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Stroke Research 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
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong