881 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions in Hong Kong
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any of the research areas in (i) Spatial data analysis, particularly with gridded (raster) or geo-referenced datasets; (ii) Quantitative research methods (e.g., regression analysis, machine learning
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are obtained 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
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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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The appointee will be required to: (a) provide general administrative and clerical support to the Department’s academic postgraduate programmes, as well as teaching & learning matters; (b) assist in day-to
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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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Language (Level 2 if results are obtained 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
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of Level 2 in New Senior Secondary subjects / “Attained” in Applied Learning subjects / Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and
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) have good computer proficiency, especially in using Microsoft Office software and Chinese word processing; (d) have good organisational, communication and interpersonal skills; (e) have positive working
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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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- “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