31 phd-in-computer-vision Fellowship research jobs at Hong Kong Polytechnic University in Hong Kong
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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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: 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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”. 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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for the Postdoctoral Fellow post should have a PhD degree in Nursing, Psychology, Public Health, Global Health or other health-related disciplines or an equivalent qualification and must have no more than five years
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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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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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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (three posts) (Ref. 250625011) [Appointment period: twelve to thirty-six months] Duties The appointees will assist the project
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doctoral degree in Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in path planning; (c) be proficient
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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