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project - “Safe-assured learning-based deep SE(3) motion joint planning and control for unmanned aerial vehicles”. He/she will be required to: (a) assist in literature review, data collection, algorithm
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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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experience in deep learning model development and frameworks, and integrating open-source or 3rd party APIs and libraries. Applicants are invited to contact Prof. Bonnie Ngai-fong Law at telephone number 2766
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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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processing, weather-related forecasting, deep learning, and/or atmospheric radiative modeling, along with proficient Python coding skills. Applicants are invited to contact Prof. Mengying Li at telephone
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leader in the research project - “Enhancing senior wellness: implementing and evaluating aquatic HIIT deep water running for cardiometabolic and cognitive benefits in inactive older adults with mild
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) an honours degree in History, Social Sciences, Urban Planning or related disciplines; (b) a good understanding of art, culture, community and social design; (c) a deep and comprehensive understanding
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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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in the research project - “Neurocognitive mechanisms of hierarchical and linear artificial grammar learning: Insights for natural language syntactic learning and development”. They will be required