649 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Hong Kong
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. They are expected to do research that leads to successful grant proposals and publications in recognized refereed journals. They will also develop, evaluate and teach in programmes at both undergraduate and
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Service-Learning and Leadership Office Service-Learning Officer (Temporary Appointment) (Ref. 251204014) [Appointment period: six months] Duties The appointee will be required to: (a) plan and
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. More information about the Faculty can be found at https://web.edu.hku.hk/ . The Position We now invite applications for appointment as Professor/Associate Professor/Assistant Professor in Learning
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have: outstanding research and scholarly achievements which are internationally recognised; demonstrated leadership in teaching and learning; distinguished clinical expertise and excellence; leadership
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as a research-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
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teaching and learning; distinguished clinical expertise and excellence; leadership in Faculty and University affairs; leadership in own clinical specialty; leadership in knowledge exchange (KE) activities
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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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Job Description DEPARTMENT OF PHYSICS Part-time Lecturer (25260604) Responsibilities: The appointee is expected to teach the Year 2 course “Mathematical Method” in our UG programme Green Energy and