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) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms for computer-assisted surgery; (c) research and develop
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”. He/She appointee will be required to: (a) research and develop novel deep learning models for medical image analysis; (b) research and develop novel extended reality paradigms/algorithms
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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project - “Establishment of joint research centre on brain-inspired computing”. He/She will be required to: (a) conduct the research on the development of neuromorphic foundation models and brain
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analysis; (b) develop and implement algorithms for 3D perception (e.g. segmentation, localization and mapping); (c) design and execute experiments to evaluate, validate and refine algorithms and
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times
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algorithm market success: code, data, and (pre-trained) models”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Xin Li
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole