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posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Study on design and analysis of high-performance parallel manipulators
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- “Establishment of the PolyU-DRRC novel material science and technology innovation centre”. He/She will be required to: (a) prepare and process textile data for AI training; and (b) perform any other duties
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interfaces using functional and programmable materials; (b) collaborate on interdisciplinary projects bridging design, engineering and human-computer interaction; (c) publish research findings in high
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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experience at the time of application. For all posts, applicants should also have: (a) strong research background in speech deepfake detection, spoken language processing and/or speech recognition; (b
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone