59 computer-science-image-processing-"Computer-Vision-Center" "Computer Vision Center" positions
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, you have experience with Python, computer vision, image processing , or machine learning. Experience with PyTorch, image embeddings, vision-language models, OpenCV, or vector similarity search is a plus
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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 18 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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performance (speed, resolution), robustness and flexibility . We cover the whole data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional
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one or more of the following areas: machine learning, computer vision, medical image analysis, or biomedical imaging informatics. A record of scholarly productivity appropriate for appointment at the
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learn data processing routines, requirements, and challenges and develop cloud-based solutions to improve efficiency (GCP) Computer Vision & Robotics Development (40%) Train and deploy computer vision
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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