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preparation, and proposal preparation; (e) have strong statistical knowledge and data analysis skills; (f) be proficient in using Python for data processing and text mining, and traditional qualitative
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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Data Analytics, including but not limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks
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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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Department of Logistics and Maritime Studies Senior Research Fellow / Senior Project Fellow (Ref. 260702007) [Appointment period: one month] Duties The appointee will assist the project leader in the research project - “Inventory optimization in operations management”. Qualifications Applicants...
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should have a doctoral degree in a related business discipline, Computer Science or Data Science (e.g. Accounting, Finance, Economics, AI, Computer Science, Data Science or Statistics), with at least three
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should have an honours degree in the aforesaid disciplines or an equivalent qualification. Applicants should also have experience in statistical analysis of behavioural datasets. Applicants are invited
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical