829 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Hong Kong
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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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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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- “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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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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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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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
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(SASCO) in the management of the Student-Athlete Learning Support and Admission Scheme (SALSA); (b) plan, organise and promote events SALSA-related activities and events; (c) co-ordinate
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from 2007 onwards) and Mathematics; or a combination of results in five HKDSE subjects of Level 2 in New Senior Secondary subjects / “Attained” in Applied Learning subjects / Grade E in Other Language