16 deep-learning-phd "Computer Vision Center" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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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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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year, and offer one
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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should
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renewal subject to satisfactory performance). Applicants should possess a PhD in Social Sciences, Social Work, Psychology, Statistics or related disciplines (those with a Master’s degree plus at least 1
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availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering, Automation, or a related field, along with a minimum of two years of relevant
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temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a PhD degree in Mechanical Engineering, Electronic Engineering