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spectral matching functionalities, and downstream statistical and pathway analysis. The successful candidate will handle and processing of LC-MS data generated by the Team: • chemical data flows • data pre
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lake and river water levels. In parallel, socio-environmental signals on water-related extremes and pressures will be extracted using natural language processing and text-mining techniques, drawing
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environment at the interface of oncology, neuroscience, and bioinformatics. The post-doctoral researcher will join the Glioblastoma Metabolism team at IBGC (CNRS, Bordeaux), led by Dr. Thomas Daubon, and will
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, bioinformatics, and explainable AI Candidate profile: Master's degree (M2) or equivalent in biochemistry, nano/biotechnology, bioinformatics, or a related field. Prior experience in proteomics, mass
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, structural biology, genome biology, cell biology, microbiology, virology and bioinformatics. The “Molecular assemblies and genome integrity” team belongs to the Biophysics, Biochemistry and
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experimental microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress
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extraction, library preparation, qPCR if required); • participate in the analysis of transcriptomic data, including single-cell RNA-seq; • contribute to bioinformatics and statistical analyses; • participate
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methodological focus will be the precise determination of the number of confined water molecules, addressed through two parallel strategies: connecting the channel to a fixed-pressure reservoir, and the
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biology, single-cell transcriptomics, bioinformatics, zebrafish genetics and live imaging. The postdoctoral researcher will: • characterise the molecular profiles of remodelled skin cells and compare
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, microscopy, molecular biology, bioinformatics). The PhD student (M/F) will be supervised by Michael Schubert, a research director at the CNRS, who co-leads the EvoInSiDe team. The PhD project will be