116 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Hong Kong Polytechnic University
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) have high proficiency in English; (d) have good computer literacy, especially in the use of SPSS and MS Excel in data analysis; and (e) have good organisational, communication, and interpersonal
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computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
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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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developing and validating computational models of human social behavior and intentions for real-time integration into socially assistive robots; (b) assist in general management of the project; and (c
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the Head of the Department or his delegates. Qualifications Applicants should: (a) have a relevant master’s degree, preferably a PhD degree in Mathematics, Statistics Finance or a closely related field
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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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delegates. Qualifications Applicants should have: (a) a bachelor’s degree in Applied Linguistics, STEM, or a related discipline and preferably a master’s degree with a solid background in Computer
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250723007) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project
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in flow stability analysis and solid knowledge of computational fluid dynamics. Applicants are invited to contact Prof. J. Hao at telephone number 3400 8060 or via email at jiaao.hao@polyu.edu.hk