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project – “Urban smart digital services via LLM-based multi-agent collaboration”. They will be required to: (a) develop multi-agent systems; (b) conduct experimental result analysis, paper and report
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posts) [Appointment period: each for three to six months] Duties The appointees will assist the project leader in the research project – “Urban smart digital services via LLM-based multi-agent
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the research project - “SLAssistants: multi-agentic generative AI-driven smart logistics assistants for B2B cross-border multi-stage multi-modal logistics”. Qualifications For the post of Research Fellow
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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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twelve months] Duties The appointees will assist the project leader in the research project - “A vision-based human digital twin modelling and scene understanding approach for adaptive and natural task
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The appointees will assist the project leader in the research project - “A vision-based human digital twin modelling and scene understanding approach for adaptive and natural task planning in human-robot
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no more than five years of post-qualification experience at the time of application; (b) interest in simulation, modelling, optimisation, traffic control and management; (c) strong analytical and
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-qualification experience at the time of application. They should also possess technical skills and expertise in immunology research using flow cytometry and mouse models. Applicants are invited to contact Prof
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to efficiently output high-quality plans for AI R&D and data optimisation; and (e) capabilities to thrive in a model that integrates research with development, and strong execution skills for implementation and
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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