108 phd-in-computer-vision-and-machine-learning positions at Hong Kong Polytechnic University
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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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assure the trustworthiness of machine learning models with applications to several practical systems; and (c) document the steps of computational studies. Qualifications Applicants should have: (a
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Department of Computing Research Assistant (two posts) (Ref. 250827003) [Appointment period: each for four months] Duties The appointees will assist the project leader in the research project
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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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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PhD degree in Computer Science, Linguistics and Communication, Psychology, Social Science, Humanity or a related discipline or an equivalent qualification and must have no more than five years of post
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral 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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Computer Science, Electrical Engineering, Electronic Engineering or an equivalent qualification; (b) demonstrated track record of publications in the field of reliability engineering and machine learning; and (c