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or pathological responses in cells and tissues. This project aims to provide a versatile toolkit for precision imaging at the nanometre scale and with sub-second resolution, compatible with complex systems
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the mechanisms underlying chemoresistance. Summary of the teaching project: Major advances in super-resolution microscopy and live-cell imaging provide essential insights into tumour biology, invasion, and
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(experimental MRI, functional imaging, behavioral phenotyping) and the presence of complementary teams in cardiovascular physiology, neurovascular physiology, and public health. Summary of the scientific project
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analysis, preferably Visium or Xenium R/Bioconductor and Python for bulk, single-cell and spatial transcriptomics, including Seurat, scanpy, anndata, squidpy and proseg Image analysis using ImageJ, QuPath
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approach combines deep phenotyping approach and multimodal imaging in the EXPLORE task5. We collected data from 16 participants who participated in one behavioral session, two 7T fMRI sessions, and two MEG
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, organization, and maintenance of the project's behavioral/imaging dataset. . Practical details Duration: 2 years Location: NeuroSpin, Gif-sur-Yvette (Paris-Saclay), France Salary: commensurate with experience
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published in open-access journals or made accessible via open repositories in accordance with INSERM recommendations. Data from omics analyses, imaging, and bioinformatics approaches will be deposited in