35 phd-position-in-computer-vision Fellowship research jobs at Hong Kong Polytechnic University
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project - “Enhancing older adults' healthy dining with explainable AI menu recommendations”. Qualifications Applicants should have: (a) a PhD degree in Computer Science and must have no more than five
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) perform any other duties as assigned by the project leader or his/her delegate(s). Qualifications Applicants should have: (a) a PhD degree in Applied Linguistics, Education or a related discipline, or an
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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project - “Develop an analysis tool to estimate dynamic performance of floating structures under environmental loading”. Qualifications Applicant should: (a) have a PhD degree in Ocean Engineering or
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extensive experience in conducting research; (c) have good computer literacy including MS Excel and Chinese word processing; (d) have experience in writing research papers and proposals; (e) have a
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 250827014) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the research
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highly competitive remuneration package will be offered. Consideration of applications will commence on 29 October 2025 until the position is filled. Apply Now Posting date: 22 October 2025
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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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: (a) a PhD degree in Applied Linguistics, Second Language Acquisition, Psycholinguistics or a related discipline, or an equivalent qualification and must have no more than five years of post
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Department of Industrial and Systems Engineering Research Fellow (Ref. 251015004) [Appointment period: one month] Duties The appointee will assist the project leader in the research project - “Towards digital biomanufacturing – developing physics-informed machine learning framework for the...