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have high-quality peer-reviewed conference/journal papers in deep learning, and natural language processing fields. Applicants are invited to contact Prof. Boris Ng at telephone number 2766 4021 or via
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The appointee will assist the project leader in the research project - “NeuroLap”. He/She will be required to: (a) research and develop novel deep learning models for medical image analysis; (b) research
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experience at the time of application. Preference will be given to those with: (a) a PhD degree in GIScience, Geomatics, Computer Science, Big Data, Machine/Deep Learning, Artificial Intelligence or a
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”. He/She appointee will be required to: (a) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms
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are designed for seasoned professionals who can blend deep technical expertise in systems programming with a strategic understanding of quantitative finance, driving the project from concept to a robust
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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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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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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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deep learning model development, frameworks in integrating open-source or 3rd party APIs and libraries, and implementing AI on web / mobile applications. Applicants are invited to contact Dr Pauli Lai