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Python with PyTorch (or equivalent deep learning framework). Experience with computer vision workflows (e.g., pose estimation, segmentation, tracking, multi-view geometry, 3D vision). Strong software
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 16 days ago
Printing in Preoperative Planning. J. Clin. Med. 2021, 10, 917. https://doi.org/10.3390/jcm10050917 Ganguli A, Pagan-Diaz GJ, Grant L, Cvetkovic C, Bramlet M, Vozenilek J, Kesavadas T, Bashir R. 3D printing
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
skills in Linux day-to-day use Basics in robotics or 3D vision Basics in machine learning/deep learning Open source development tools (git, docker, etc.) Languages: English is required for day-to-day
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be monitored with an ensemble of 1D pressure sensors and event cameras in a Particle Image Velocimetry (PIV) setting, to record the changes of large-scale velocity flow field. Event-based vision is
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THE EMPLOYMENT HIRING OF SCIENTIFIC-TECHNICAL ACTIVITIES FOR SUPPORT TECHNICAL PERSONNEL GROUP II IN THE RESEARCH LINE OF THE 'ARTIFICIAL VISION AND INTELLIGENT VEHICLES' LABORATORY (CÓDIGO C-001/26).More
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is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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project development, supporting innovative visions for marine-related real estate, nautical infrastructures, luxury tourism concepts, and coastal territorial transformation. This PostDoc will integrate
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forming composite fibres into 3D-shaped component parts. High quality numerical analysis is a crucial part of the process of understanding and predicting high quality manufacture of composite structures
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive