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- “Investigating laboratory measures of social avoidance behavior”. The project focuses on brain imaging, behavioral testing and hormone measures. Qualifications Applicants should: (a) have an honours degree in
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fuzzing-based approaches; (c) assist in the development of prototype systems for vulnerability detection and exploit generation; (d) explore the use of Large Language Models (LLMs) and agent-based
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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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; (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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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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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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through various practical application-oriented projects, generating worldwide benefits to mankind. COMP envisions that it will become the influential icon in smart computing internationally. COMP has been
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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