51 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Hong Kong Polytechnic University
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quantitative and analytical skills; (c) in-depth experience in econometric modelling and modern machine learning techniques; and (d) strong proficiency in handling large-scale datasets and advanced
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leader in the research project - “Control of permanent magnet machines for improving system efficiency of domestic air-conditioners”. Qualifications Applicants should have a doctoral degree or an
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experience in conducting research in ultra-precision machining field, especially in polishing or surface/subsurface characterization; and (c) demonstrated by publication in top-tier journals. Applicants
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/Information Science (e.g., Computer Science, Human-Computer Interaction, AI) or related disciplines, or an equivalent qualification, and must have no more than five years of post-qualification experience at the time of
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years of post-qualification experience at the time of application; (b) experience in using machine learning for research projects; and (c) have a good command of both written and spoken English
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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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the setting of educational institutions; (c) a good command of English and Chinese, preferably with an overall IELTS score of 6.5 or above; (d) good knowledge of personal computer applications; and (e
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of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing; (b) a good command of written and
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have an honours degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing
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[Appointment period: six months] Duties The appointees will assist the project leader in the research project - “Digitalization and marketing innovation in the Chinese automobile industry”. Qualifications