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the teaching and learning team, including but not limited to academic programmes, admissions, student related matters and activities of the School; (b) assist with the Work-Integrated-Education (WIE) and
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well as teaching and learning related matters such as coordination of centralised exercises; (b) provide student support services, manage scholarships applications and student matters; (c) provide secretarial
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willing to work in a collaborative environment. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high
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and motivated; (h) be able to work under pressure and meet tight schedules with project management capability; and (i) have good computer literacy and be willing to learn. Preference will be given
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Language Model (LLM) training platform, developing unified capabilities for GPU resource pooling, training job scheduling, inference acceleration and the Machine Learning Operations (MLOps) platform
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creative, highly independent and motivated; (h) be able to work under pressure and meet tight schedules with project management capability; and (i) have good computer literacy and be willing to learn
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial