409 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at Hong Kong Polytechnic University
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are invited to contact Dr Jiaqiang Zhu at telephone number 2766 6982 or via email at jiaqiang.zhu@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly competitive
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circuits and/or 3D printing; (c) strong communication skills; and (d) strong motivation to pursue accomplishments. Applicants are invited to contact Dr Junhong Pu at telephone number 2766 6486 or via
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- “Developing a flipped learning signature showcase”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Tina Jia at telephone number 3400
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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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) an honours degree or an equivalent qualification; and (b) a good background of engineering management domain, serious games and educational research methods. Applicants are invited to contact Dr Paul Y. P
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operation of computer systems; (b) assist in the implementation of system upgrading and migrations; (c) provide technical and administrative support in data collection, data analysis, filing and system
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Department of Computing Research Associate / Part-time Research Associate / Part-time Research Assistant (Ref. 260312013) (1) Research Associate [Appointment period: one to two month(s)] (2
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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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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