49 postdoc-deep-learning-"https:" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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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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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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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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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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English and Chinese Able to work independently and in a multidisciplinary team Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial
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information, please contact Professor Stephanie Ma at stefma@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be
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@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be obtained at http://www.sbms.hku.hk/ . A highly
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chemoproteomics to discover new druggable hotspots in liver cancer, which can facilitate the development of novel anticancer therapeutics. The appointee will have a good opportunity to learn and perform state
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., and provide 2-3 referees' names and contact details. Review of applications will start as soon as