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& economics and AI & law. At the Center, Professor Stefan Bechtold is looking for student research assistants with a background in computer science, data science, or related fields to support
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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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intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and Responsible AI, the
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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and
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and educator with exceptional leadership and interpersonal skills; a transformative vision for the future of engineering in general and electrical and computer engineering in particular; and a plan to
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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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Imaging Library and qim3D packages. Publish scientific articles within computer vision, data, and applications in collaboration with colleagues in physics and natural history. This role is part of
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learning and/or computer vision libraries (e.g., PyTorch, TorchVision, OpenCV, scikit-learn). Familiarity with data handling and statistical analysis (NumPy, pandas, SciPy, Matplotlib) Preferred
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 hours ago
01, 2022 Description The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer
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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