505 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Hong Kong Polytechnic University in Hong Kong
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Putonghua being an advantage; (c) have good computer literacy, including Microsoft Word, Excel and PowerPoint; (d) have good communication and interpersonal skills; (e) be able to work independently
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spoken English and Chinese, with fluency in Putonghua being an advantage; (d) high proficiency in computer literacy, including MS Word, Excel, PowerPoint and Chinese word processing; (e) good problem
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/her delegates. Qualifications Applicants should have: (a) a recognised degree or a higher degree in Data Science, Engineering or a related discipline; (b) at least five years of work experience in
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) be creative, highly motivated, detail-oriented and willing to work under tight schedules; (e) be a good team player with strong organisational and interpersonal skills; (f) have good computer
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; (c) have proficiency in computer applications including MS Word, Excel, PowerPoint and IT skills; (d) be meticulous and attentive to details; (e) have good organisational, problem-solving
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, Chinese Language and Mathematics; or a recognised certificate/diploma or an equivalent qualification; (b) good computer knowledge and experience in using application software such as MS Office; and (c
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) proficiency in Search Engine Optimisation, Social Media Marketing, Google Analytics, Data Visualisation, etc.; (e) demonstrated proactive problem-solving skills and agile thinking, with a positive outlook
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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good command of both written and spoken English and Chinese, with fluency in Putonghua; and (e) have good computer literacy, with some knowledge of IT and audio equipment being an advantage
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initiatives; (e) provide secretarial and administrative services to internal meetings and various committees and working groups; (f) consolidate data and conduct evaluation studies on the relevant