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or more of the following areas required: Windows, MacOS, or Linux systems administration. Hardware maintenance of advanced computer, peripherals, and networking systems required Purdue IT experience a bonus
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 20 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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for this classification at the discretion of the supervisor. Equipment Operated: Computer and all other standard office equipment. Work Schedule: Typically, Monday through Friday. Primary Location: Youngstown Supervision
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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-time employees. These benefits include: Health & Wellness Access to a comprehensive vision care plan with low-cost exams and allowances for glasses or contact lenses Employee Assistance Program offering
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University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv