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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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(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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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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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
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). Under USM, policies developed by system administrators execute in user space, which greatly facilitates their deployment and maintenance. A functional prototype of USM already exists and has been used
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R