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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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investigate the molecular mechanisms that underlie the regenerative capacity of injured neurons. Our research focuses on gene regulation processes, particularly the translational control of mRNAs into proteins
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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and/or image processing * Strong proficiency in programming with Python and Matlab * Good command of English Knowledge of solid mechanics would be an asset, but is not essential. Website for additional
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging
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, the postdoctoral fellow will seek to elucidate the fundamental processes leading to the formation of the "Solid Electrolyte Interphase" (SEI) in batteries. This will include understanding the precipitation of
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towards scalability and error correction, we are adopting a measurement-based computing paradigm. This model assumes that it is possible to generate light states in which a large number of photons
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focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state
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cellular biophysics -Backround in microfluidics -Background in image processing Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5588-CHAMIS-012/Default.aspx Work Location(s) Number