20 phd-image-processing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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the research project - “An interaction framework of hospitality virtual human persona and brand personality consistency”. Qualifications Applicants should: (a) have a doctoral degree (PhD) in Hospitality
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Polytechnic University dedicates to pioneering research at the forefront of brain imaging and genetics, leveraging AI technology to analyse large datasets and uncover insights into brain aging and
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ready for revenge travel: The new expectation, perception and operation in hospitality and tourism industry”. Qualifications Applicants should have: (a) a doctoral degree (PhD preferred
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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, development economics, or labour economics; and (b) contribute to publications in prestigious academic journals. Qualifications Applicants should: (a) have a PhD degree in Economics or an equivalent
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prototype development and laboratory testing; (e) analyse test data and iterate designs; (f) publish top-tier academic papers; and (g) perform any other duties as assigned by the project leader
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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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for the Postdoctoral Fellow post should have (i) a PhD degree in Physics, Materials or Engineering and must have no more than five years of post-qualification experience at the time of application; and (ii) at least
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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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of the above-mentioned disciplines. For both posts, applicants should have research experience in either in vivo/in vitro animal studies, Bio-FET, nanomaterials, medical imaging or AI. Preference will be given