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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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inside hadrons, and the emergence of gluon saturation at high energies. A central goal of the project is to build a three-dimensional picture of hadron structure, encoding both the longitudinal momentum
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and molecular function. The project will build on the MDSPACE image analysis software [2], and its application to characterising VCP/p97 dynamics [3], to analyse cryo‑electron microscopy (cryo-EM
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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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 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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a home-build photoacoustic spectrometer (Lucas et al., 2022). To characterize the nanoscale temperature distribution, we propose to combine the pulsed excitation of photoacoustic imaging with a
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otoacoustic emissions) will be recorded before and after exposure, and the cochlea will be examined with super-resolution imaging techniques that can visualise structures as small as 50 nm. This will reveal
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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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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 | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models