343 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Hong Kong Polytechnic University in Hong Kong
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qualification; (b) be proficient in machine learning frameworks; (c) have strong background in AI modelling, quantitative data analysis, mathematical modelling, and experience in methodological development
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– “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S. H. I. E. L. D.)”. He/She will be required to: (a) develop machine learning models to predict optimal
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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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Science, Psychology, Statistics, Data Science, or a related field, or an equivalent qualification; (a) have strong training in econometrics and/or statistics; (b) have proficiency in machine learning
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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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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning
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in econometrics and/or statistics; (b) have proficiency in machine learning techniques and tools; (c) have experience working with large language models (e.g., GPT, BERT); (d) have hands
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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
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academic programmes, student administration and related teaching and learning activities; (b) assist in organising the School’s events and functions; (c) manage an effective filing system and database