173 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University
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the teaching and learning team, including but not limited to academic programmes, admissions, student related matters and activities of the School; (b) assist with the Work-Integrated-Education (WIE) and
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well as teaching and learning related matters such as coordination of centralised exercises; (b) provide student support services, manage scholarships applications and student matters; (c) provide secretarial
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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have
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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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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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State Key Laboratory of Ultra-Precision Machining Technology Part-time Research Fellow (Ref. 260220006) [Appointment period: twelve months] Duties The appointee will assist the project leader in
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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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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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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