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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 | 13 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 | 15 days ago
capable of advancing these topics independently. In close collaboration with experienced researchers, the engineer(s) will be in charge of: developing a data acquisition interface developing computer vision
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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. GROSS ANNUAL REMUNERATION: The worker will receive a gross annual salary of 13,035.68 €. PROJECT TITLE: Computer Vision and Intelligent Vehicles. DURATION: The validity of this contract shall be linked
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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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) Established Researcher (R3) Application Deadline 20 Feb 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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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