14 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at Hong Kong Polytechnic University
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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physical quotient and learning platform”. Qualifications Applicants should: (a) have a master’s degree or a good honours degree with three or more years of research/relevant work experience; (b) be
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written and spoken English and Chinese; and (e) have good computer skills, including Microsoft office (Word, Excel, Powerpoint, Outlook, etc) and Chinese word processing. Applicants are invited
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of flipped laboratory platform for university level physics”. He/she will be required to: (a) develop the microcontroller interface and sensors; (b) design and develop experiments, learning materials
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project - “Smart manufacturing in ultra-precision machining”. Qualifications Applicants should have a Master’s degree or a good honours degree with three or more years of research/relevant work experience
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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interviewing: Impact on the teaching and learning of professional English”. He/She will be required to: (a) assist in the recruitment of focus group candidates; (b) conduct focus group meetings with
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- “Flipped learning development project”. Qualifications Applicants should have a higher diploma or a diploma or an equivalent qualification in the appropriate discipline plus at least 3 years’ relevant post
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a flipped learning signature showcase”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Tina Jia at telephone number 3400
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the project - “Development of a flipped learning signature showcase”. He/She will be required to: (a) prepare and deliver educational content related to the engineering management domain; (b) assist in