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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 8 hours ago
team. The expected deliverables are : Prototype hybrid solver (validated, scalable, with documented source code). Benchmark report comparing CG, DG, and hybrid CG/DG on seismic test cases. HPC
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BioNanoImaging Foundry (BNIF, Building 50, Triolet campus). The BNIF is a cutting-edge technological environment dedicated to multimodal imaging, equipped with high-field MRI scanners (9.4 T, 3 T horizontal
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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(currently at Southampton University) and with data processing experts in the MATISSE international consortium. Her/His first main task will be to combine the existing image reconstruction codes
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combination of high-end microscopy combined with fluorescent biosensor imaging, optogenetics and genetically-encoded molecular tools enabling subcellular manipulation in vitro and in vivo. She/He will also work
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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identifier les plantes. - **Optimiser l'apprentissage du modèle** : Détecter les images mal étiquetées, prioriser l'étiquetage des images non labellisées et se concentrer sur les espèces rares pour améliorer
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multitechnique approach, using ion beam imaging/spectroscopy, for example. In this context, the postdoctoral associate will be in charge of developing an operando/in situ cell compatible with ion beam analysis
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(photogrammetry, multispectral imaging, and LiDAR) will be used to finely characterize road edges in relation to hydrosedimentary transfers. On smaller scales, aerial data (IGN LiDAR data and IGN BD Ortho IRC ortho
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 8 hours ago
Offer Description Within the framework of the GraphRec Project, our team investigates improvements to the relational learning approach. Relational learning has recently emerged as a powerful paradigm for