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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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project - “UAV-based inspection of aircraft with deep learning-based visual inspection system”. Qualifications Applicants should have a higher diploma or a diploma or an equivalent qualification in
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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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) knowledge of machine learning, deep learning, econometrics and social network. Applicants are invited to contact Prof. Y. Katherine Feng at telephone number 2766 7127 or via email at katherine.feng
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using deep-learning-based spatial-acoustic imaging”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five
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- “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should be form five school leaver with
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the project leader in the research project - “Enhancing coastal reclamation modelling using satellite geodesy and deep learning”. Qualifications Applicants for the Research Associate post should have a master’s
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learning or deep learning research project; (b) evaluate the proposed algorithms; and (c) conduct a real-case analysis. Qualifications For the Research Fellow post, applicants should have a doctoral