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multi-paradigm learning by integrating diverse biological plasticities”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) be familiar with Spiking
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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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challenge issues, using advanced machine learning models and necessary techniques; (d) evaluate and validate the performance of proposed methods and algorithms through theoretical analysis; (e) maintain
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, GeoAI models and related computational platforms; (b) acquire, process and manage large-scale spatial datasets for internal research, external collaborations, and open benchmark development; (c
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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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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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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have
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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
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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- “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the area of machine learning (ML) and data science, and also be