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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 12 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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development. Job Details The successful candidates are expected to: • Conduct research in computer vision and deep learning, including literature review, hypothesis formulation, and experimental design
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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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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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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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-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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responsibility ? Maintains inventory records and an accurate accountability for all supplies, materials, equipment, and software computer packages in multiple labs ? Provides excellent customer service as 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