280 parallel-processing-bioinformatics positions at Hong Kong Polytechnic University in Hong Kong
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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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development of different technical facilities, equipment, and platforms for teaching, research and administration; (g) assist in the operation of departmental health and safety issues; and (h) perform any
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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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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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, 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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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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; (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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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