205 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" research jobs at Hong Kong Polytechnic University in Hong Kong
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prosthesis for women after mastectomy”. They will be required to: (a) conduct comprehensive literature reviews to support the research framework; (b) undertake data collection, management and analysis
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) design and implement surveys and experiments; (c) manage data collection; and (d) perform statistical analyses that involve not only survey or experimental data but also large archival datasets
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the project leader in the research project - “Tourism and hospitality transformed: Navigating with AI and big data (financial support for book writing)”. Qualifications Applicants should have: (a) a master’s
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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) be proficient in R and SPSS for data analysis and model estimation; and (d) demonstrate a strong command of written English and programming skills. Applicants are invited to contact Dr Hanyuan Zhang
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implement surveys and experiments; (c) manage data collection; and (d) perform statistical analyses that involve not only survey or experimental data but also large archival datasets. Qualifications
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or an equivalent qualification. Applicants are invited to contact Prof. Gary C.P. Tsui at telephone number 3400 3254 or via email at mfgary@polyu.edu.hk for further information. Conditions of Service A highly
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of participants; (c) assist in quantitative and qualitative data collection for the study; (d) assist in data management and data analysis; (e) assist in the preparation of reports and presentation
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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning
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Department of Data Science and Artificial Intelligence Research Fellow / Research Associate / Research Assistant (Full-time / Part-time) (Ref. 260319012) (1) Research Fellow (Full-time / Part