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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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– “Machine learning platform for heterogeneous accelerator clusters”. They will be required to: (a) design and develop an efficient asynchronous checkpointing strategy during model training to enable rapid
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Service-Learning and Leadership Office Executive Assistant (Temporary Appointment) (Ref. 251217008) [Appointment period: twelve months] Duties The appointee will be required to: (a) assist in
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automation independently; (c) be familiar with Python and have practical experience in NLP and machine learning basics; (d) be familiar with prompt design and model output evaluation processes; and (e) be
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Service-Learning and Leadership Office Service-Learning Officer (Temporary Appointment) (Ref. 251204014) [Appointment period: six months] Duties The appointee will be required to: (a) plan and
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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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Service-Learning and Leadership Office Assistant Service-Learning Officer (Research Support) (Temporary Appointment) (Ref. 251208010) [Appointment period: twelve months initially, with possibility
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) provide vision, leadership and strategic direction on the exploitation of emerging digital technologies, such as Artificial Intelligence (AI), Machine Learning, cloud computing, Internet of Things (IoT) and
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education institutions; (b) have a good command of both written and spoken English and Chinese, with fluency in Putonghua; (c) have good computer literacy; (d) be self-initiated, well-organised
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department-related matters, and organising student learning activities and departmental events; (d) provide administrative support to student scholarships and awards; (e) support general office