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development, including data processing, model training, optimisation and deployment, etc., and be proficient in using mainstream deep learning frameworks such as TensorFlow and PyTorch to solve practical
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Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit
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proven track record in teaching excellence that creates deep and lasting impact on student learning and development; (f) outstanding contribution to programme development leading to substantial
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and social responsibility that resonates throughout the University and beyond. Our projects serve as living laboratories for the social innovation, providing unique opportunities for hands-on learning
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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 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