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to our expanding research portfolio, and clinical and teaching activities. This is an open-discipline call. Recruitment areas include Bioinformatics and Bioengineering; Cancer Biology & Therapeutics
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as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar
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Bioinformatics and Bioengineering; Cancer Biology & Therapeutics; Chinese Medicine; various specialties under Clinical Medicine; Data Science/Big Data/AI Applications in Biomedicine & Health; Emerging Infectious
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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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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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Applications are invited for appointment as Clinical Assistant Professor of Practice in the Department of Surgery, School of Clinical Medicine (Ref.: 534494), to commence as soon as possible on a
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) for the requirements for application documents and other details. Application will be reviewed by a panel of scholars from across the spectrum of the arts and the humanities. The application process closes on February
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the Vaccine Process Development workstream and contributes to others workstreams of the HKJCGHI, including capacity building. These areas of work are in sync with HKJCGHI activities of the Science Unit in Seoul
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to vaccines and vaccination for global health. The Science Unit of IVI coordinates the Vaccine Process Development workstream and contributes to others workstreams of the HKJCGHI, including capacity building
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big