44 machine-learning-"https:"-"https:"-"https:"-"https:"-"Earlham-Institute" positions at Hong Kong Polytechnic University in Hong Kong
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- “Towards digital biomanufacturing – developing physics-informed machine learning framework for the advanced multi-modular 3D bioprinting system”. Qualifications Applicants should have: (a) a doctoral
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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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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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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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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
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qualification; (b) research or relevant work experience in “Sentiment and Emotion Analysis” or “Human-Machine Conversation”; and (c) good communication and interpersonal skills. Applicants are invited
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the research project - “Re-inventing surface haptics for robust human-machine interactions: from new modelling to psychophysical evaluation”. Qualifications Applicants should: (a) have an honours degree