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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
02, 2021 Description The Computer Vision-Core Artificial Intelligence Research ( Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and
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Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration skills. Strong analytical and problem-solving skills
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strong expertise in remote sensing, computer vision, and big image data analysis, focusing on developing novel algorithms for mapping and monitoring environmental change. Position 2, we emphasize
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering , or a related field Demonstrated expertise in machine learning, deep learning, and image-based
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OSU | about 2 months ago
: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering , or a related field Demonstrated expertise in machine learning, deep learning, and image-based
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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Intelligence Research Institute of SUAT Center for Neurocognition and Social Behavior Large Model Research Center Computer Vision and Recognition Center Center for Al in Medicine Center for Embodied
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• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Biology, or a related quantitative or biological field. • Strong programming skills in one or more of Python, R, and Bash
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Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in