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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 19 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178 and SSFA) acquired by confocal microscopy combined with image
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The IMMENSE project is funded by the University of Lille, France. Our overarching goal is to image
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monitoring using SAR and multi-spectral images, GIS, scientific programming - English proficiency, team work, reporting, redaction of scientific publication, organization and project management
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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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medicine. State-of-the-art core facilities (imaging, histology, cytometry, cell culture, etc.) are available onsite. The successful candidate will work on a project funded by Open Innovation AstraZeneca and
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beamline at the ESRF. The analysis and interpretation of the acquired data will require solid proficiency with the various code bases developed on the beamline. The candidate will be trained in the use
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kinetic properties associated with a transformation, using artificial intelligence tools * performing molecular dynamics simulations * developing codes to analyze these simulations, using existing
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), I³ (Inorganic–Isotopy–Imaging), ECOMES (emerging contaminants, speciation, and omics), Surface and Interface Characterisation, and Microbiological Characterisation. Together they enable an end‑to‑end