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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
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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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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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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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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
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World
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of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic
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interviews, focus groups, and thematic analysis Lead the development, deployment, and maintenance of AI chatbots for medical education Collaborate with technical teams on chatbot design, testing, and