92 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Hong Kong
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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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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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to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise innovative teaching and learning materials; (d) work on meeting self-identified professional
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Technology, Animation and Game Design, Computer Science, Human-computer Interaction or other related disciplines; (b) have a good command of both written and spoken English and Chinese; (c) be proficient
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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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.) Fundamental Biology & Chemistry (molecular biology, biomaterials, tissue engineering); Artificial intelligence & Data Science related to biomedicine (machine learning, computational modeling, digital health etc
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of artificial intelligence in language teaching and learning. He/She will be required to: (a) conduct independent and collaborative research on individual differences and second language acquisition; (b
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School of Design Part-time Research Assistant (Ref. 260113002) [Appointment period: twenty-four months] Duties The appointee will assist the project leader in the project - “Learning in motion: Real
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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