871 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Hong Kong
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. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University
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of application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable
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to meet specific industry needs. Please visit the website at http://www.lms.polyu.edu.hk for more information about the Department. Duties The appointee will be required to: (a) undertake teaching
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to meet specific industry needs. Please visit the website at http://www.lms.polyu.edu.hk for more information about the Department. Duties The appointee will be required to: (a) initiate, lead and
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to meet specific industry needs. Please visit the website at http://www.lms.polyu.edu.hk for more information about the Department. Duties The appointee will be required to: (a) initiate, lead and
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undergraduate and postgraduate programmes and actively engages in various research and consultancy work. Please visit the website at https://www.polyu.edu.hk/aae/ for more information about the Department
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research and consultancy work with the community. Please visit the website at http://www.polyu.edu.hk/ise/ for more information about the department. Duties The appointee will be required to: (a) undertake
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at http://www.rs.polyu.edu.hk/ . Duties The appointee will be required to: (a) undertake teaching in undergraduate and postgraduate programmes including supervision of student projects and seminars and
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Responsibilities The appointee will be expected to teach courses offered in postgraduate programmes related to international organizations, and/or global governance. He/She will also contribute actively to research
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original