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Putonghua; and (f) high proficiency in computer applications, including MS Word, Excel and PowerPoint, with experience in the Oracle Financials (purchasing module)/e-tendering/supplier sourcing system
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Neural Networks (SNNs); (c) have strong proficiency in PyTorch programming and model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models
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management and business stakeholders; and (h) perform any other duties as assigned by the Director of Office or his delegates. Qualifications Applicants should have: (a) a recognised degree in Computer
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research areas are: • AI applications in education • AI and big data learning analytics • Generative AI for teaching and assessment innovation • Digital education technology platforms • Data
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the development of computing education in the territory. With over 45 years of success, COMP plays a strong role in undertaking world-class research including but not limited to the areas of Big Data Analytics and
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying
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(RIGAI) (to be established) under the PolyU Academy for Artificial Intelligence (PAAI). The appointee will be required to: (a) oversee the daily operations, the monitoring and inspection of the Large
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, InfiniBand network, GPU/NVLink topology and performance bottlenecks; (i) have knowledge of HDFS, JuiceFS, GPFS or similar large-scale data access systems, and an understanding of training data reading
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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) and Artificial Intelligence (AI). The Department envisions to cultivate a comprehensive curriculum that encompasses key research pillars such as Big Data Analytics and Management, Machine Learning and