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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C
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, COBie) and common data formats (e.g., RVT, DWG); and (e) preferably have experience in computer graphics, 3D geometric algorithms, or WebGL development. Applicants are invited to contact Prof. John W
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disciplines or an equivalent qualification. Applicants should also have: (a) proficiency in computer and multimedia applications; (b) strong organisational skills and attention to details; and (c) high
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of ecological data and sustainability issues - Materials Science: AI-driven discovery and design of new materials Applicants should have (i) a Ph.D. in Computer Science, Computer Engineering, Electrical
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estimation; generate tables and figures for reports and presentations; write scientific publications, grant proposals and reports; and assist in general administrative, operational and other duties as assigned
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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Professors/Associate Professors/Assistant Professors, Department of Computer Science and Engineering
machine learning Bioinformatics Computer system security or cybersecurity Data analytics or data science Healthcare Informatics Image processing, computer graphics, AR/VR Programming languages, software
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or related engineering fields; Demonstrated expertise in Artificial Intelligence, including but not limited to computer vision, intelligent robotics, or large language models; Practical experience in applying
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required to: (a) undertake specific research project(s) under the guidance of a project leader and contribute to the development of research activities; (b) develop computer programs to assess
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: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc. Critical Studies on Arts and Machine Creativity: Art history