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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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different disciplines; (c) collect, process and analyse data related to the evaluation and impact of various research outputs; (d) prepare research reports, presentations and publications for journals
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models and prototypes for facade systems; (c) collect, process and analyse multi-modal data related to occupant behaviour, thermal comfort and energy consumption; (d) prepare research reports
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The appointee will assist the project leader in the research project - “Personalising Cantonese speech decoding in EEG-based brain-computer interfaces through voiceprint integration”. He/She will be required
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models”. They will be required to: (a) conduct literature reviews; (b) assist in data collection, pre-processing, and analysis; (c) support platform deployment and algorithmic development; (d
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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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) have excellent computer literacy, including MS Word, Excel, PowerPoint, Multimedia and Chinese word processing; and (d) be a good team player with excellent interpersonal and communication skills
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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