102 parallel-and-distributed-computing-phd positions at Hong Kong Polytechnic University
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Sciences offers research degrees at MPhil and PhD levels as well as taught programmes at undergraduate and postgraduate levels in various disciplines. The Department is home to many thriving research and
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, Computing, Artificial Intelligence or related disciplines or an equivalent qualification. Applicants are invited to contact Prof. Liu Rong Sally at telephone number 2766 6473 or via email at rong.liu
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background and programming skills; (c) a good command of both written and spoken English and Chinese, with fluency in Putonghua being an advantage; (d) proficiency in computer applications, such as Stata
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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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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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MAFA programme”. He/She will be required to: (a) help conducting the python summer bootcamp and the technology-related tutorials for the four technical subjects designed for MAFA; (b) prepare training
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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess and assure
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the research project - “Computer vision-based intelligent real-time monitoring for identification of unsafe conditions in construction sites”. He/She will be required to produce high quality academic papers
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disciplines; (b) a good command of English and Chinese (both written and spoken); (c) good computer literacy, especially in the use of SPSS and MS Excel in data analysis; and (d) good organisational