62 computer-programmer-"https:"-"https:"-"Université-de-Toulouse---LGC" positions at Hong Kong Polytechnic University
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Department of Electrical and Electronic Engineering AI / Web Developer (Full-time/Part-time) (several posts) (Ref. 251110003) [Appointment period: each for eight to thirty-six months] Duties
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participatory art/design research, curating arts programmes and public art/design initiatives or equivalent qualifications and experience; (b) proven corporate leadership in programme curation and development
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Institute for Higher Education Research and Development Project Associate (Ref. 251230004) [Appointment period: twelve months] Duties The appointee will take up the role as Software Developer to
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Department of Health Technology and Informatics Part-time Research Assistant (Ref. 251211005) [Appointment period: three months] Duties The appointee will assist the project leader in the research
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Department of Health Technology and Informatics Research Associate (two posts) (Ref. 260102009) [Appointment period: each for six months] Duties The appointees will assist the project leader in
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of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing; (b) a good command of written and
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have an honours degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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and presentation materials; and (d) perform any other duties as assigned by the project leader or his delegates. Qualifications Applicants should have: (a) an honours degree in Computer
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School of Accounting and Finance Project Assistant (Ref. 260105002) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project – “Detecting deceptive communication in earnings conference calls using acoustic features: A Machine learning...