94 computational-statistics-"INSAIT---The-Institute-for-Computer-Science" positions at Hong Kong Polytechnic University
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degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background and strong
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of the project, including data collection, compilation of statistical reports and report writing; (c) prepare and keep proper records of project documentation, including presentations; (d) provide
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) code the data (knowledge of Nvivo is preferred); (c) conduct various forms of data analysis for the project, including statistical analysis of assessment data and corpus data; and (d) perform any
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doctoral degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background
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Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, Geoscience, Environmental Science, Landscape Ecology, Meteorology and Climatology, Natural Resources
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spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have good knowledge of using statistical software such as SPSS, Mplus or AMOS in running statistical analyses such as SEM, HLM
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prepare documentation of the project, including data collection, compilation of statistical reports and report writing; (c) prepare and keep proper records of project documentation, including
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should: (a) have an honours degree in Psychology, Statistics, Social Sciences, Public Health or other related disciplines or an equivalent qualification; (b) have experience in research and data
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Psychology, Statistics, Social Sciences, Public Health or other related disciplines or an equivalent qualification; (b) have experience in research and data analysis; (c) have a good understanding of
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spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have good knowledge of using statistical software such as SPSS, Mplus or AMOS; (d) have strong research interests in youth