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also have: (a) a proven record of academic writing in relevant fields; and (b) strong teamwork and collaboration skills. Preference will be given to those who have experience in developing deep
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters
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) research experience in one or more of the areas of intelligent fault diagnosis and condition monitoring, machine learning and deep learning; and (c) demonstrated ability to undertake high quality academic
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Research Institute for Federated Learning Postdoctoral Fellow (Full-time/Part-time) (two posts) (Ref. 260929011) [Appointment period: each for twelve to twenty-four months] Duties The appointees
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with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term of their appointment and are required to submit a brief annual summary of their activities
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– “A human-like progressive learning paradigm for embodied AI: Meta skills for robots by watching and imagination”. They will be required to: (a) identify irreducible low-level sensorimotor units
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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the project leader in the research project - “Empowering language education in the AI era: Developing students’ self-regulated learning skills in English speaking”. He/She will be required to: (a) conduct