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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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) support the review of pay and benefits for various staff categories to ensure competitiveness of the pay and reward mechanism, and monitor the large-scale annual pay adjustment exercises; (c) review HR
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School of Fashion and Textiles Research Associate (Ref. 260317004) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “Large language
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Computer Engineering, Electronic Engineering, Information Technology or a related discipline; (b) at least five years of relevant post-qualification work experience in operating various brands of core
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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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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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- “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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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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the research project - “Trustworthy smart contract generation from formal specifications using large language models”. Qualifications Applicants for the Senior Research Fellow/Senior Project Fellow posts 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