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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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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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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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(ICGM, UMR 5253) — Prof. Claude Niebel (project coordinator), Prof. Françoise Serein‑Spirau, Dr Thibaut Jarrosson, Dr Mickaël Beaudhuin, Dr Romain Viennois, and Dr Jérôme Rouquette (molecular design
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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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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 Montpellier, dedicated to the study of infectious processes and the host immune response. LPHI research teams conduct projects ranging from the in vitro study of fundamental biological processes
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international collaborators. - Production of viruses and infection in an L3 containment laboratory - High-throughput sequencing and bioinformatics analysis - Microscopy (RNA and proteins) - CRISPR genetic
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involved during capillary debinding through the use of specimens and model tests • Understand the influence of processing parameters on debinding mechanisms and kinetics • Determine the influence of