349 information-security "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Hong Kong
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at telephone number 2766 5665 or via email at kevin.m.yang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application
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. Applicants are invited to contact Prof. Wai Sze Yip at telephone number 2766 6598 or via email at lenny.ws.yip@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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number 2766 6696 or via email at jack-jiaqi.zhang@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly competitive remuneration package will be offered. For part
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and performance assessments; (b) assist in data collection, analysis and preparation of research reports; (c) support daily laboratory operations related to the project; and (d) perform any
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to contact Prof. Yusheng Zhou at telephone number 3400 3627 or via email at yusheng1.zhou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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. Applicants are invited to contact Dr Wen Yi at telephone number 2766 4261 or via email at wen.yi@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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. Applicants are invited to contact Ms Jade Tai at telephone number 3400 8475 or via email at jade.wc.tai@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package
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or an equivalent qualification. Applicants are invited to contact Ms Jade Tai at telephone number 3400 8475 or via email at jade.wc.tai@polyu.edu.hk for further information. Conditions of Service A highly
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big data fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification
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) construct high-quality data pipelines covering code, mathematics and general-domain data, as well as ensure data clarity, diversity and scalability; (b) develop efficient training frameworks to support pre