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-2027 (2nd term)”. Qualifications Applicants for the Research Fellow post should have a PhD degree in an AIoT-related discipline plus at least three years of postdoctoral research experience in AIoT
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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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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twelve months] Duties The appointees will assist the project leader in the research project - “A vision-language model-based human guided mobile robot collaboration approach for unstructured manufacturing
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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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pursuing a PhD degree. Applicants are invited to contact Prof. Rachel Yee Wai Yee at telephone number 2766 5608 or via email at rachel.yee@polyu.edu.hk for further information. Conditions of Service
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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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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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Applicants should have a doctoral degree or an equivalent qualification in Biomedical Science, Bioengineering, Biomedical Engineering, Electronic Engineering, Computing, Materials Science, or related areas and
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 260213004) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project – “Universal time-series foundation model bridging power electronics reliability monitoring and...