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to committees and meetings; (c) provide support for quality assurance and enhancement processes (e.g. Departmental Review), and accreditation maintenance and visits; (d) plan and organise related events
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data analysis techniques to optimise acquisitions processes, utilising automation tools such as n8n to streamline acquisition tasks, particularly to enhance the New Title Alert Service and Evidence-based
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work for process and operation improvements; (e) maintain a proper record of all meeting minutes, projects, committee/working group papers, data and other relevant information of the Office; (f
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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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research methodologies; Collect, organise, and analyse qualitative/quantitative data; Collect field work data and engage in training and managing the operation of service robots; Prepare research materials
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, such as school performances and instrument demonstrations, as assigned to support the successful operation of the project and the school. Requirements: A bachelor’s degree in Music or above; Open-minded and
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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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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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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