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as assigned by the project leader or his/her delegates. Qualifications Applicants for the Research Fellow post should have a PhD degree in Optometry or Vision Science plus at least three years of
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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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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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project - “Online quality measurement for ultra-precision milling based on high-speed active vision”. Qualifications Applicants should have a doctoral degree with at least three years of postdoctoral
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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
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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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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250603024) (1) Postdoctoral Fellow / Research Associate (two posts) (2
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Department of Logistics and Maritime Studies Postdoctoral Fellow (Ref. 250611007) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “Data-driven algorithms for multi-product inventory systems with non-stationary...
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Department of Management and Marketing Research Fellow (Ref. 250606007) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research project - “Tackling diversity, equality and inclusion challenges using a machine learning...