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Omics platform. The platform provides IRB researchers with cutting-edge technologies that integrate histological techniques, spatial profiling, and advanced molecular analysis to map gene and protein
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 16 days ago
adaptive immune responses against liver antigens. The project focuses on characterizing T and B cell immune responses in autoimmune liver diseases using spatial transcriptomics and adaptive immune receptor
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methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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of the three direction, each focusing on distinct but complementary areas of biomedical AI and data science: • Position 1: Postdoctoral Researcher in Medical Image Analysis (Pathology or Radiology) Duties
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outcomes. Part of the project will also include analysis of samples from patient-derived animal models. The project uses cutting-edge spatial transcriptomics technologies that enable gene expression to be
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elements of public space. The project has two core research pillars: 1. Spatial, Architectural, and Human-Space Analysis You will investigate how people use, move through, and experience wireless systems in
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management and data cleanup. ● Spatial analysis. ● Programming or scripting for tools and web applications. ● Support in research and report writing tasks. User Services (10%) ● Research and respond
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv
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of OSPAR-listed elasmobranchs (sharks and rays). The purpose of this role is to deliver the project’s spatial and statistical modelling components and integrate advanced marine sensing data into practical