93 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Hong Kong
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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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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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in the research project – “Self-paced learning platform powered by efficient graph retrieval-augmented generation”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral
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years of experience in teaching courses at the tertiary level. Applicants with a relevant Ph.D. degree or nearing completion of a Ph.D. degree, the ability to teach research-based courses on subjects
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physical quotient and learning platform”. Qualifications Applicants should: (a) have a master’s degree or a good honours degree with three or more years of research/relevant work experience; (b) be
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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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skills; (b) demonstrate the platform's impact by piloting WiseLearn with a group of teachers and students, gathering evidence of its effectiveness in enhancing learning engagement and teaching
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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
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competencies: • Proficiency in Python and at least one mainstream deep learning framework (e.g., PyTorch or TensorFlow), with hands-on experience in model optimisation and tuning; • Expert knowledge