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Perception Engineer: Perception Performance of Robotic Systems Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various
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-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping systems for challenging
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call is computer vision and machine learning, with a focus on 3D mapping methods for audio. The project explores how to rethink such systems by constructing end-to-end methods that combines detec-tion
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 days ago
) for the mathematical and computational aspects as well as by Mohammed Bendahmane (https://www.ens-lyon.fr/RDP/Morphogenese-florale/ ) (Inrae Lyon) for the biology. It will also be conducted in close collaboration with
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science or biostatistics Ability to work independently and collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D
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collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D data, geometric representations, or parametric
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. Strong background in machine learning and AI, with demonstrated experience in at least one of: computer vision, recommendation systems, decision-support systems, explainable AI, or LLM-based reasoning
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This fully-funded 80 PRIME PhD fellowship (CNRS MITI
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within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
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Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The position will be placed in the Division for Computer Vision and Machine Learning