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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
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fuzzing-based approaches; (c) assist in the development of prototype systems for vulnerability detection and exploit generation; (d) explore the use of Large Language Models (LLMs) and agent-based
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communication skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data
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Science in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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both front-end and back-end development (such as Java); (d) have R&D experience with Large Language Models (LLMs); and (e) be familiar with AI agents. Applicants are invited to contact Prof
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should
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large-scale health data”. Qualifications For the Research Fellow post, applicants should have a doctoral degree with at least three years of postdoctoral research experience or equivalent qualifications
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in project management, data collection, and data analysis; (b) assist in research paper writing; and (c) perform any other duties as assigned by the project leader or his/her delegates
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Department of Civil and Environmental Engineering Research Assistant Professor in Climate-Resilient Infrastructure or Large AI Models (Ref. 250811010) The Department of Civil and Environmental