33 phd-position-in-image-processing Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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project - “Semiconductor nanomaterials for solar fuel production”. Qualifications Applicants should have: (a) a PhD degree or an equivalent qualification and must have no more than five years
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project - “New electrode materials for next generation rechargeable batteries”. Qualifications Applicants should have: (a) a PhD degree or an equivalent qualification and must have no more than five
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for the Postdoctoral Fellow post should have a PhD degree or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application. Applicants for the Research
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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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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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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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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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