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                to ensure smooth operation and accessibility for staff; (b) support training, stakeholder communication and preparation of project deliverables to promote system adoption and usability; (c) assist in 
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                - “Establishment of the PolyU-DRRC novel material science and technology innovation centre”. He/She will be required to: (a) prepare and process textile data for AI training; and (b) perform any other duties 
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                ) have good computer literacy; (e) have good interpersonal and organisational skills; and (f) be a good team player and be able to work independently. Prior experience in organising student 
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                geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , materials theory , materials theory; , materials-related physics , Matter Theory , Nonlinear and 
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                and classical computer vision; Develop quantitative features, including color metrics (RGB/HSV/Lab), texture (GLCM, LBP), geometry, and other visual proxies for clinical assessment; and Build image 
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                /Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure 
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                interdisciplinary collaboration. It will identify key challenges, including the systematic documentation of iterative processes and the validation of creative outputs as contributions to research. The appointees 
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                interfaces using functional and programmable materials; (b) collaborate on interdisciplinary projects bridging design, engineering and human-computer interaction; (c) publish research findings in high 
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                ) will normally be made on contract basis for up to three years initially, which, subject to mutual agreement, may lead to longer-term appointment(s) or substantiation. Application Procedure Applicants 
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                such as orthopaedics, ophthalmology, surgery, radiology, neurology and others) They could also form a team to establish new elements of “active learning” or “student-directed learning” in BME curriculum