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The appointees will work on a cross-institutional project dedicated to supporting primary students in Hong Kong to learn Chinese, and to enhance their use of Chinese as a medium of learning. Working closely with
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and spoken English and Chinese including Putonghua; (c) have good computer literacy, including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication
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analysis and application of machine learning techniques to structured numerical and unstructured textual data; (d) have a good track record of academic writing, including report writing, manuscript
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and/or training in data collection and analysis; (e) have experience or training in intensive longitudinal data analysis and application of machine learning techniques to structured numerical and
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) hands-on experience in embedded systems, computer vision or AI model development; and (c) a good command of written and spoken English. Applicants are invited to contact Dr Ran Duan via email at
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publications at major machine learning, AI or closely related conferences and journals; and (b) good communication and writing skills in English. Applicants are invited to contact Prof. Qiu Anqi via email at
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) good analytical, communication, writing, organisational and computer skills. Preference will be given to those with experience in financial data analysis, accounting, auditing, taxation, business
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middleware for communication between AI agents and physical devices, including cooking robots, coffee machines and vending systems; (d) conduct system integration, software testing, performance evaluation
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– “Smart ultra-precision machining for damage-free diamond wafers”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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State Key Laboratory of Ultra-Precision Machining Technology Research Assistant (Ref. 260713003) [Appointment period: twelve months] Duties The appointee will assist the project leader in