881 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Hong Kong
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-driven initiatives, supporting course administration and the development of teaching materials) and student development services (e.g. co-curricular learning activities, student exchange, internships
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of Hong Kong’s website at https://www.dchk.org.hk/en/registration/part_III.html .) The University only accepts online applications for the above post. Applicants should apply online at the University’s
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invited for interview 8 weeks after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https
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at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not to make an appointment for the post advertised, and the appointment
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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
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv
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the social sciences. The Department is also home to the HKU Anthropology Research Network. Information about the Department can be obtained at https://sociology.hku.hk . Applicants should possess a Ph.D
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, willingness to help, and active learning attitude are required. Teaching background and experience in conducting research are preferred. Salary and Conditions of Service Salary offered will be highly
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii