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project - “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/she will be required to: (a) be responsible for the collection
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project - “Generative AI and large language models in the hotel industry: Impacts, human-machine interaction, and industry applications”. Qualifications Applicants should have: (a) an honours degree or
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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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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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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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and text pipelines: ASR (FunASR/Whisper), speaker/acoustic features, text cleaning/tokenisation, dialogue semantic tagging; • Computer vision and video understanding: OpenCV/ffmpeg, frame sampling
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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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multi-agent language learning platform: Personalized tutoring and contextual simulation”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited