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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
for the avatarization process, i.e. obtaining a 3D, animatable model from one or several images. This is a very hard problem as shape fidelity, animatability, fast computation time and low number of required input
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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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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production and run custom computer algorithms for 3D image registration, fluorescent signal detection, cell/clone segmentation, and annotation. You will organize and maintain the rapidly expanding spatial
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both remote sensing and computer vision. The candidate should have a strong publication record. Preference will be given to candidates with first- or co-first-author papers in CCF Rank A computer
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involving robotics, computer vision, SLAM, mobile sensing, sensor fusion, or related areas will be valued. Criterion a3. Technical and programming skills (30%). Strong proficiency in Python or C++, and
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models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer vision, robotics and radar, such as NeurIPS, CVPR, ICRA
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(Research Scientist) (Arizona Geological Survey) Posting Number req27227 Department Arizona Geological Survey Department Website Link https://azgs.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA