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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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degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background and strong
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the project; (b) collect relevant data for the project, including but not limited to crawling online data; (c) process the data collected and compile corpora from the data; (d) assist with qualitative
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doctoral degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background
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- “Environment and conservation fund turning sewage sludge into green hydrogen and e-fuel with carbon-neutrality goals in Hong Kong: innovative process design, optimization, economic viability and environmental