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Ph.D. degree in Epidemiology, Biomedical Sciences, Computer Science, Data Science, or related disciplines. A proven track record in peer-reviewed publications and research experience in computer graphics
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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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Experience” and “Research Methods and Statistics for Psychology II”. In addition to teaching duties, the appointee will have to provide support to the operation of the Department, including promotion and
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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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experiment design, data processing and result analysis; (g) assist in the preparation of research papers, technical reports and open-source artifacts; and (h) perform any other duties as assigned by
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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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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
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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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) good computer literacy, including MS Word, Excel, PowerPoint and Chinese word processing; (e) excellent communication and interpersonal skills, including the ability to deal with stakeholders