391 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Hong Kong Polytechnic University in Hong Kong
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engaging promotional multimedia content that highlights the Faculty’s strengths, researchers, and programme achievements for local and international audiences; (c) collaborate flexibly with research
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. Applicants are invited to contact Dr David D. W. Lui via email at david.lyu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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activities such as seminars and information day, etc.; (e) liaise with internal departments/units and external organisations to execute GUR/programme related activities/events; (f) maintain effective
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programmes at the taught postgraduate level; (d) compile statistical and academic programme reports for curriculum and resource planning; (e) supervise junior staff members in the programme team; (f
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) provide secretarial support to committees, programmes, working groups and teaching-related initiatives; (c) liaise with internal departments/units and external organisations to coordinate programme-related
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/relevant work experience. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Lv Jiaxin at telephone number 3400
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should have an honours degree or an equivalent qualification. Applicants are invited to contact Ir Prof. Pai Zheng or Dr Xia Liqiao at telephone number 2766 5633 or 3400 3186 or via email at pai.zheng
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Office of Faculty of Business Assistant Officer (Ref. 251114013) Duties The appointee will be required to: (a) provide administrative support for academic taught and research programmes offered
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Media Content and Game Design programme, including contributing to the design of course content and assessments; (b) collaborate with the academic team to ensure the curriculum aligning with industry
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning