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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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, or advanced bioinformatics. Experience in brain tumor research and patient-derived models is preferred but not required. REQUIRED SKILLS Experience developing or utilizing advanced spatial multiomics
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across various developmental stages in knockout mouse models. Apply high-throughput molecular and cellular techniques to assess gene expression, spatial organization, and cellular diversity in
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
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mechanisms of cell signalling in several cellular models. The team combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging methods
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on regulatory mechanisms of cell signalling in several cellular models. The team combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in