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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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, 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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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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and automation; (d) be proficient in designing and processing 3D-printers and sealed chambers; and (e) have strong problem-solving skills and a collaborative mindset. Post 2 of Research Assistant
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- “Monitoring, diagnosis, and prognosis for renewable energy system under complex operation conditions”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b
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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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. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction/Cultural Studies and/or knowledge of Cantonese. Applicants are invited to contact Prof