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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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documents, including image scanning, delivering, and filing of papers and electronic files; (d) provide administrative and logistic support to meetings and other research events; (e) maintain website
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junior technical staff in UMF; (c) assist in the administrative management of UMF; (d) assist in the operation of the state-of-the-art dual aberration-corrected Scanning Transmission Electron
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GPU scheduling ecosystem, including GPU Operator, container runtime, image building and pipeline engineering processes; (h) be familiar with NVIDIA Hopper GPU architecture, NCCL communication
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and servers, to ensure the smooth operation of the staff offices, studios, as well as research and computer laboratories; (b) provide technical assistance and support for teaching and learning
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in behavioural and systems neuroscience research; (d) train students and research personnel in the operation of instruments, including Electroencephalogram (EEG) system, Transcranial Magnetic
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in behavioural and systems neuroscience research; (d) train students and research personnel in the operation of instruments, including Electroencephalogram (EEG) system, Transcranial Magnetic
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) assist in the implementation of strategic actions; (e) conduct essential activities for the operation in the assigned Team; (f) interact closely with stakeholders in the University; and (g
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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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”. Qualifications Applicants should: (a) have a master’s degree in GIS, Urban Planning, Data Science or relevant disciplines, or an equivalent qualification; (b) have experience in processing multi-sourced