269 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs at Hong Kong Polytechnic University
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creative, highly independent and motivated; (h) be able to work under pressure and meet tight schedules with project management capability; and (i) have good computer literacy and be willing to learn
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to support product and vendor selection; (e) liaise with the campus bookstore and other sales channels (e.g. vending machine and souvenir e-shop) on restocking, pricing, sales reports, product display
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operation of computer systems; (b) assist in the implementation of system upgrading and migrations; (c) provide technical and administrative support in data collection, data analysis, filing and system
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to deliver quality library services to support the University’s research and learning initiatives and be required to: (a) provide in-depth instructional and consultation services for students and faculty
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degree in Business, Corporate Communication, Project Management or a related discipline; (b) have experience in event management; (c) have basic knowledge of computer software applications, including
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(f) proficiency in computer software applications, including MS office and Chinese word processing. Shortlisted candidates will be invited to sit for a written test. Conditions of Service A highly
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Office of Faculty of Computer and Mathematical Sciences Executive Officer (Ref. 260310001) Duties The appointee will be required to: (a) develop and implement marketing, branding and
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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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) hands-on experience with AI/ML technologies, particularly in natural language processing, computer vision, and generative models (e.g., ChatGPT, QWEN, SenseTime); (d) proficiency in programming languages
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and Chinese; and (d) good computer literacy and proficiency in common office software. Applicants are invited to contact Prof. Bo Wu at telephone number 2766 4335 or via email at bo.wu@polyu.edu.hk