218 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University
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Language Model (LLM) training platform, developing unified capabilities for GPU resource pooling, training job scheduling, inference acceleration and the Machine Learning Operations (MLOps) platform
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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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qualification; (b) experience in using machine learning for research projects; and (c) have a good command of both written and spoken English. Applicants are invited to contact Prof. Yoo Hee Hwang
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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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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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