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Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working across
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major Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working
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, topological data analysis, spatial statistics, and computational statistics). Learn more about the Department of Mathematical Sciences here . The Department of Clinical Medicine provides research-based teaching
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, epigenomics, and spatial datasets. Analyzes bulk RNA-seq data, including quality control, normalization, differential expression, pathway enrichment, gene-set enrichment analysis (GSEA), and molecular signature
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 17 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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, morphometry analysis) Spatial transcriptomics Single-cell sequencing Our ambition is to create a supportive, inclusive, and stimulating research environment where scientific curiosity thrives. We value
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Introduction to the vacant position: The Spatial Biotechnology Group is looking for a
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record demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq