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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
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polarization modeling and intervention strategies from the perspective of generative agent interactions”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants
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experience at the time of application. Preference will be given to those with research experience in empirical research and a strong skill set in programming, modeling and simulations in the business context
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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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project – “Universal time-series foundation model bridging power electronics reliability monitoring and grid-edge sensing” Qualifications Applicants should have: (a) a doctoral degree or an equivalent
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Neural Networks (SNNs); (c) have strong proficiency in PyTorch programming and model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models
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for twelve months] Duties The appointees will assist the project leader in the research project - “Develop a vision-language model-based smart driving assistant for enhancing safety and convenience
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project - “Aircraft induced contrail mitigation strategy by satellite imagery and uncertainty modelling for the future of airspace management”. Qualifications Applicants should have a doctoral degree plus
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(e) familiarity with Natural Language Processing and Large Language Models research (e.g., conference/journal publications, previous job experiences, etc.) is a plus. Applicants are invited
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Science, or an equivalent qualification; (b) experience in field measurements of food waste, bioconversion and machine learning modelling; (c) strong analytical and problem-solving skills, with