88 parallel-and-distributed-computing-phd positions at Hong Kong Polytechnic University in Hong Kong
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ability to work collaboratively with team members. Preference will be given to those who have a PhD in Assessment or Applied Linguistics or a related discipline, and have research experience of computerised
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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 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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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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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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, Operations Research, Computer Science or a related discipline with experience in optimization modeling and coding. Applicants are invited to contact Prof. Li Ang at telephone number 3400 2520 or via email at
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, preferably in a higher education setting; (c) have good knowledge and skills in quantitative and qualitative data analysis using relevant computer software and applications such as SPSS, MaxQDA and NVivo
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related disciplines or an equivalent qualification; (b) have a good command of both written and spoken English and Chinese; (c) have good computer literacy; (d) have strong research interests in
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of and skills in conducting qualitative and quantitative studies; (c) have knowledge of using Microsoft Office and statistical computer software, such as SPSS; (d) have a good command of both written
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent