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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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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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of main control parameters as well as different patterns and amplitudes of the heat flux on the outer boundary. The candidate will analyze these simulations to establish the dependence of the dynamo regime
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for the conversion of either model compounds in gas phase and of different silicone materials. The fresh and used catalysts will be characterized by different techniques available at IRCELYON. The CARES project funded
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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is an experimental biology laboratory whose object of study is the cell, the fundamental unit of life. The 15 teams at the LBMC include in their research different aspects of cellular life such as
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analyses, including isotopically labeled protein for NMR spectroscopy - Ligand screening using saturation transfer difference NMR and 1H relaxation dispersion - NMR exchange techniques to study protein
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and disseminating results * Epoxidation of erucic acid and direct polymerization of epoxidized fatty acid * Synthesis of linear and branched polyesters from erucic acids mono-hydroxylated at different