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research, particularly ethnographic and participatory methods, and has expanded its expertise in quantitative research, social statistics and demography. The 2026 QS World University Ranking rated
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a skilled Data Scientist with a strong foundation in genomic biostatistics to join our team. This role involves leveraging advanced statistical methods and machine learning techniques to analyze
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, and translation through creative and/or computational approaches, as appropriate to their fields. Preference will be given to applicants with (i) an active research programme addressing contemporary
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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to the study of social issues anywhere in the world. The Department has strong traditions in qualitative research, particularly ethnographic and participatory methods, and has expanded its expertise in
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying
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qualification with at least one year of relevant research or work experience as a Research Assistant; (b) possess knowledge of experimental and quantitative methods, particularly discrete choice modelling; (c
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Deadline 1 Apr 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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University’s strategic development plans and meet the needs of both internal and external stakeholders; (e) review and comment on contractors’ construction programme, and method statements/proposals, focusing