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- “From waste tires to value-added products: novel valorization process design, simulation, optimization and analysis”. Qualifications Applicants should: (a) have a doctoral degree or an equivalent
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qualification; (b) have experience in conducting research, and skills in process systems engineering and AI for modelling industrial systems; and (c) be proficient in English. Applicants are invited
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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
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the research project - “The role of AI in courtroom evidence evaluation: showcasing the impact in forensic voice comparison in Hong Kong”. They will be required to: (a) process and segment speech data; (b
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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and brain-computer interface; and (c) strong publication records in related areas and demonstrated leadership ability. Applicants are invited to contact Ms Lyn L. N. Wong at telephone number 3400
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, process, and analyse project data; (d) organise workshops and project meetings as required; (e) prepare and disseminate research results and project outcomes; and (f) perform any other duties as
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behavioural and EEG experiments; (d) assist in recruiting and running participants for behavioural and EEG studies; (e) assist in processing and analysing behavioural and EEG data; and (f) perform any
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publications, conference papers or grant proposals; (f) proven ability to conduct empirical studies on digital behaviour, intelligent service processes or AI-assisted decision-making; (g) ability to work
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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