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) an excellent skills of computer science (e.g., LLM) Applicants are invited to contact Prof. Shenyang Jiang at telephone number 3400 3623 or via email at shenyang.jiang@polyu.edu.hk for further information
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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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Department of Computing Research Assistant (Ref. 251218004) [Appointment period: around three months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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Department of Computing Postdoctoral Fellow (Full-time/Part-time) (two posts) (Ref. 260114025) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in
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Department of Electrical and Electronic Engineering Research Assistant (Ref. 260112002) [Appointment period: five months] Duties The appointee will assist the project leader in the research project – “The theory and design of the guided metasurfaces based on the topological band structure...
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stability analysis and solid knowledge of computational fluid dynamics. Applicants are invited to contact Prof. J. Hao at telephone number 3400 8060 or via email at jiaao.hao@polyu.edu.hk for further
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the research project - “Large-scale complex 3D geometric feature computation for domestic large aircraft”. They will be required to: (a) conduct advanced research on point cloud techniques for geometric
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Department of Computing Part-time Research Assistant (Ref. 251112006) [Appointment period: six months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119006) [Appointment period: six months initially, with possibility of further appointment] Duties
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Department of Logistics and Maritime Studies Research Assistant (Ref. 251027001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “A machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime...