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, funded by the ITMO Mathematics and Informatics for Cancer program, is to efficiently process and analyze hundreds of thousands of RNA-seq datasets on human cancer. The central innovation of the project is
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bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor "ecosystem" with a particular emphasis on epithelial cells
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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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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 1 month ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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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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. - Knowledge of linear/mixed models is a plus. - Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. - Experience with the processing of genomic biological data (whole exome
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global
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to nascent mRNAs, regulate post-transcriptional processes including m6A methylation, subcellular localization, translation, and transcript quality control in various eukaryotic cell systems. In collaboration
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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