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bioinformatics for a fixed term (CDD) Research Engineer (Ingénieur d’études) position within the team. Main Mission Mammary organoid culture and bioinformatic analysis of spatial transcriptomics data. Main
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interface of biology and physics, integrating mechanobiology, quantitative imaging and transcriptomics in organoids and tumors. Located within the largest cancer hospital in Europe, our lab benefits from
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transcriptomics, bioinformatics, zebrafish genetics and live imaging. The postdoctoral researcher will: • characterise the molecular profiles of remodelled skin cells and compare them with neighbouring skin cells
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and molecular biology approaches, flow cytometry, and transcriptomic and epigenomic analyses. The ultimate goal is to identify the mechanisms driving the age-associated loss of stem cell function and to
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and transcriptome resources) • Participate in daily care tasks of the Platynereis worm culture • Required skills • MSc in a relevant field (or in the final stages of completion). Bac + 4 • Basic
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molecular biology, conventional and spectral flow cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal
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in the growth of melanoma cell xenografts in isogenic mice; to determine how GATA6 modulates the tumor immune microenvironment (immunohistochemical staining of tumor sections, transcriptomic analyses
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. Experience in comparative genomics, molecular evolution, phylogenetics, population genomics or transcriptomics would be an advantage. Familiarity with genomic data formats, high-performance computing, workflow
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to evaluate epithelial polarization, differentiation and barrier function. Perform functional assays including permeability measurements, transporter activity analyses and transcriptomic studies. Analyze
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R