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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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for all data modalities: audio, images, videos, text, 3D, etc. Indeed, this call aims at reinforcing the equipe Multimedia in one of the following areas, having a strong accent to AI. Animation is a dynamic
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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee . We are looking for a Research Fellow to work
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information: https://tablon.upct.es/anuncio/ P6OGg 7 2Ok1 Deadline for submission of applications: 28 January. TITLE OF THE POSITION OFFERED: MOBILITY FLOW MEASUREMENT SYSTEM USING ARTIFICIAL INTELLIGENCE
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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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of metallic interfaces between two topologically inequivalent systems or simply between a topological material and vacuum, i.e. metallic surfaces for 3D topological insulators and metallic edges for 2D
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets
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anthropogenic impact on past biodiversity and its transformations, and refine the recognition of extinct animal varieties or those with particular adaptations by combining methods borrowed from archaeozoology, 3D