35 phd-computer-artificial-machine-human Fellowship positions at Hong Kong Polytechnic University
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Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, Geoscience, Environmental Science, Landscape Ecology, Meteorology and Climatology, Natural Resources
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multifunctional wearable sensing devices and human-computer interaction systems; (d) be able to fabricate multi-material and multi-functional electrochromic and electroluminescent fibers for constructing fiber
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Department of Computing Postdoctoral Fellow / Part-time Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 250725004
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will assist the project leader in the research project - “AI-based fashion video generation system”. They will be required to: (a) take part in design and carry out artificial intelligence, machine
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250703002) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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Associate (two posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Point-of-Care artificial intelligence integrated internet
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety