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posts) [Appointment period: each for six months] Duties We are building a domain-specific Multimodal Large Language Model (MLLM) devoted exclusively to hepatocellular carcinoma. The appointees will
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project - “Large vision model for spatial intelligence of autonomous systems”. Qualifications Applicants should have: (a) a doctoral degree plus at least six years of postdoctoral research experience
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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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maintain aviation data analytics pipelines and dashboards to support market analysis, operational decision-making and industry benchmarking; (c) apply AI and big data technologies (e.g., Python, SQL
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(for clients) and web-based management portal (for professionals) from prototype to pilot deployment; (b) collaborate with the research team to build template editors and data pipelines that configure and
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to the frontend user interfaces for faculty and students; (c) build and optimise the application layer that interfaces with Large Language Models (LLM); (d) design and implement RAG (Retrieval-Augmented
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at the time of application; (b) demonstrated research competence in AI-driven service innovation, large language model applications or data-enabled experience design; (c) solid industry experience
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- “Unveiling the hidden fees: The impact of information disclosure on the real estate market”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; (b) advanced
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Causality-aware trustworthy Large Language Model”. The appointees will be required to: (a
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the research project - “Large vision model for UAV-UGV collaborative map update”. Qualifications Applicants should have an honours degree in Engineering with a strong background in mathematics and programming