296 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Hong Kong Polytechnic University
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Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning
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. Qualifications Applicants should have: (a) a recognised degree with several years of relevant post-qualification experience; (b) good communication and interpersonal skills; (c) good computer literacy, including
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interpersonal skills; (d) have a good command of both written and spoken English and Chinese, with fluency in Putonghua; and (e) have proficient computer literacy. Shortlisted candidates will be invited
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a minimum of three years’ relevant work experience; (b) a good command of both written and spoken English and Chinese, with fluency in Putonghua; (c) good computer literacy; (d) good
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installations; (c) sound knowledge of and experience in the operation of facilities management industry; and (d) knowledge of basic office computer software including MS Office and preferably with knowledge
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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the project - “Development of a flipped learning signature showcase”. He/She will be required to: (a) prepare and deliver educational materials for supporting flipped learning in engineering subjects; (b
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and interpersonal skills; (c) a good command of both written and spoken English and Chinese; (d) ability in organising and coordinating functions and events; and (e) good computer literacy and
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interpersonal and communication skills; (d) a good command of English and Chinese, with fluency in Putonghua being an advantage; (e) high self-motivation; and (f) good computer literacy. Shortlisted
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for Federated Learning (RIFL) (to be established) under the PolyU Academy for Artificial Intelligence (PAAI). The appointee will be required to: (a) lead the end-to-end lifecycle of artificial intelligence