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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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Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD
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encouraged from scholars in the following priority areas: - Infectious Diseases - Academic Breast Surgery - Cardiovascular Science - Neuroscience - Advanced Cell Therapies and Novel Oncological Treatments
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experience or equivalent qualifications and experience. Preference will be given to those with research experience in material processing and 3D printing. Applicants are invited to contact Prof. Tang Chak-yin
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the project leader in the research project - “Detecting stigma evolution in social media and doctor-to-patient conversations: A natural language processing approach”. He/She will be required to: (a) assist
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mutual agreement. Application Procedure (online application only) Please click "Apply Now" to submit your application. Please submit a cover letter, CV, and at least one writing sample as part of your
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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emerging media technologies. The appointment will begin in April 2026 for a contract of three years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants
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both research and administrative functions of the projects. Key responsibilities include, but are not limited to: Conduct literature reviews and support the research process, including data collection
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are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas