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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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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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should also have: (a) experience in field measurements of IEQ, energy simulations and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct
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editing”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an equivalent qualification
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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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Duties Teach any of the following postgraduate course(s) in the upcoming Semester A 2024/25 and/or Semester B 2024/25: Statistical Machine Learning I Statistical Machine Learning II Exploratory Date
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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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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities