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-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences. DSAI will be at the forefront of cutting-edge technology and innovation, driving forward the fields of Data Science (DS
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Applicants should have: (a) a recognised certificate/diploma in a related discipline plus relevant work experience in mechanical and MVAC installations; (b) sound knowledge of the operation of
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benefits, including updating payroll and benefits records, processing staff claims and related payments, participating in annual exercises, following up with different parties on payment matters, and
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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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, and Chemical/Physical Vapour Deposition Systems, etc.; (b) provide regular training to users on the operation of the facilities; (c) take charge of laboratory and chemical safety management, e.g
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and interpersonal skills as well as computer literacy; (d) have an excellent command of both written and spoken English and Chinese, with proficiency in Putonghua; (e) be meticulous and have good
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issues in the laboratories; (d) assist in the setting up, operation and maintenance of the computing, audio-visual and other teaching equipment; and (e) perform any other duties as assigned by
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; (f) engage with prospective students to provide information about the programme, answer inquiries and assist with the admission process; (g) contribute to the planning and execution
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office hours occasionally. Qualifications Applicants should have: (a) a recognised degree with at least five years of solid administrative and supervisory experience; (b) a good sense of process
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, or Full Professor) in the following areas: Machine Creativity: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc