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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 11 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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, 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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partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong
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are trained across a range of practical disciplines spanning digital media art, animation, film, photography, and computer games. The School bridges the boundaries between art, technology, and computer
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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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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at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of academic excellence in a
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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
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team comprising computer engineers, architects, designers, urban planners, and local administration professionals. In collaboration with project partners, you will: Apply machine learning techniques