20 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at CNRS
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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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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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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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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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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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biology and is resolutely interdisciplinary, integrating approaches in (bio)informatics, (bio)physics, and (bio)mathematics. The “genome mechanics” team is interested in the process of DNA break repair by
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of proteins by applying a simple electrical potential in solution. This electro-bioconjugation reaction occurs within minutes, providing a fast and biocompatible process for the functionalization of viral
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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