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phenotyping in murine models with integrated molecular, cellular, genetic, and metabolic approaches to investigate how hypoxic stress alters cardiometabolic regulation. Experimental work will include advanced
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, integration, deconvolution, and calculating cell-cell communication networks is highly desirable. You must be able to work independently to drive computational pipelines and communicate discoveries effectively
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Candidates should hold a PhD (or be close to completion) in microbiology, molecular biology, cell biology, infection biology, bioinformatics or another relevant biological discipline. You should have
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researchers with diverse skill sets and a common interest in elucidating the extrinsic and intrinsic signals that regulate stem cell behaviour. The Spagnoli lab is a highly dynamic team, doing exciting science
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biological datasets to generate a systems-level understanding of infection biology. About You Candidates should hold a PhD (or be close to completion) in microbiology, molecular biology, cell biology
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Experience in knockout generation using CRISPR Experience in cellular and molecular immunology techniques, including flow cytometry, ex vivo Treg expansion, intracellular cytokine assays, and functional immune
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on understanding how cellular metabolic processes shape the immune response in health and disease. A particular focus is on B cell metabolism, and more specifically the germinal centre reaction, which is responsible
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Immunology, Systems Biology, or a related discipline Experience in knockout generation using CRISPR Experience in cellular and molecular immunology techniques, including flow cytometry, ex vivo Treg expansion
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About the Role This postdoctoral position supports a Cancer Research UK-funded research programme investigating epithelial cell heterogeneity during the initiation of pancreatic cancer, with a
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interactions are critical to protein folding, DNA base pairing, and cellular signalling. Supramolecular Chemistry applies these same principles to create artificial systems capable of performing complex tasks