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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
of graph databases, prototype systems have shown how property graph views can be defined, materialized, and incrementally updated over underlying storage layers ([Han24]). However, existing techniques stop
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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the habitability, resource-potential and climate record contained in these mid-latitude debris covered glaciers. The core of the work will be performed using already-acquired orbital images and topographic data from
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image processing - Taste for interdisciplinary environment: physics, chemistry and biology - Good interpersonal skills (enthusiasm for research), able to work independently as well as in a team, taking
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Physics Researcher Profile First Stage Researcher (R1
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are important modifiable factors that influence metabolic processes and the gut microbiota. Current recommendations advocate for an adapted diet, with a reduction in animal proteins in favor of plant-based
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
mechanism in which a local event, such as ligand binding, produces functional effects at distant sites in a molecule. This process plays a key role in regulating biological systems and represents an important
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations