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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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; environmental exposures and resilience to heat, flooding, and pollution in cities; geography of emerging diseases; health co-benefits from urban sustainability transitions; GIS, spatial modeling, and data-driven
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, preserving its mechanical properties is crucial. Tissue engineering (TE) and xenotransplantation, particularly using pig models, offer promising solutions. This project aims to advance meniscus TE and
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. Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models. Multi‑omics: single‑cell and bulk
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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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UnitedKingdomTime (posted 2026/02/26 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Academic Job Description Department of Animal Science Research Associate – Livestock Spatial Modeler