82 developer-"https:" "https:" "https:" "UCL" "UCL" research jobs at Hong Kong Polytechnic University
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multi-disciplinary undergraduate and postgraduate programmes and actively engages in various applied research and consultancy work with the community. Please visit the website at http://www.polyu.edu.hk
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. The Department also runs various self-financed programmes tailor-made to meet specific industry needs. Please visit the website at http://www.lms.polyu.edu.hk for more information about the Department. Duties
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. Please visit the website at https://www.cee.polyu.edu.hk for more information about the Department. The Department is seeking a highly motivated and suitably qualified individual with research expertise
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, Chinese History, Chinese Literature, Chinese Philosophy and Chinese Religion. Please visit the website at https://www.polyu.edu.hk/fh for more information about the Faculty. Duties The appointee will be
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science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more information about
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, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more
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, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more
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the website at https://www.sd.polyu.edu.hk/en/ for more information about the School. The Design discipline at the School takes a sustainable and humanistic approach which also aims to expand the scope
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Assistant [Appointment period: twelve months] Duties The appointees will assist the project leader in the research project - “Developing an AI-empowered and student-centered institutional self-awareness and
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– “Machine learning platform for heterogeneous accelerator clusters”. They will be required to: (a) design and develop an efficient asynchronous checkpointing strategy during model training to enable rapid