244 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Chester" positions at Hong Kong Polytechnic University in Hong Kong
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Information Technology Services Office Assistant Manager (Teaching & Learning Support) (Ref. 260305006) Duties The appointee will work in the User Support Services Section and will be required
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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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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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Service-Learning and Leadership Office Service-Learning Manager (Academic Development & Evaluation) (Temporary Appointment) (Ref. 260203002) [Appointment period: five months] Duties The appointee
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 260305005-IE) This new Faculty of Computer and Mathematical Sciences
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Office of Faculty of Computer and Mathematical Sciences Founding Dean of Faculty of Computer and Mathematical Sciences (Ref. 241030001-IE) This new Faculty of Computer and Mathematical Sciences
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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