85 distributed-computing-"Meta"-"Meta" positions at Hong Kong Polytechnic University in Hong Kong
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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”. They will be required to: (a) collect and organise relevant data; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c
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required to: (a) 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
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qualification; (b) good computer literacy including MS Excel and Chinese word processing; (c) a good command of both written and spoken English and Chinese, with fluency in Cantonese; and (d) good
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) a strong background in optimisation, computing or algorithmic design. Applicants are invited to contact Prof. Chi-to Daniel Ng at telephone number 2766 7364 or via email at daniel.ng@polyu.edu.hk
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, Public Health, Rehabilitation, Psychology, Human-Computer Interaction, Computer Science or other related disciplines or an equivalent qualification; (b) have proficiency in SPSS, Excel, EndNote, NVivo
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with academic background and solid knowledge of Applied Mechanics and Fluid Mechanics; (b) research experience in computational fluid dynamics (CFD); and (c) experience in handling project(s) in
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of Applied Mechanics or Control Science and Engineering; (b) research experience in computational fluid dynamics (CFD) or control system development of unmanned aerial vehicle (UAV); and (c) experience