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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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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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posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the research project - “Large-scale AI-empowered reconfigurable intelligent surfaces for IOT
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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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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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familiar with large language model (LLM) development, including API integration, conversational system design, and practical prompt engineering; (e) have strong ability in requirement analysis and
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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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the development of computing education in the territory. With over 45 years of success, COMP plays a strong role in undertaking world-class research including but not limited to the areas of Big Data Analytics and