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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and
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processing. Experience in cell culture, primary cultures and advanced imaging techniques Experience handling biological sample repositories and experimental data management Publications: At least 1 first
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that subsequently recruit decay factors. In our lab, we investigate a distinct, newly emerging paradigm of gene regulation termed “peptide-mediated mRNA decay” (PMD). In PMD, not the mRNA sequence but rather