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 If you are a potential supervisor, [[supervisor_instructions:click here]]
+=== The Barrier Atlas: Cross-Tissue Insights into Homeostasis and Dysfunction ===
+Contact: Amanda Oliver (Amanda.Oliver@qimrb.edu.au)
+Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of human tissue biology, revealing cellular diversity across organs and disease states. Building on existing datasets profiling millions of cells, this project aims to construct a unified single-cell atlas of barrier tissues, including the lung and gut, to uncover shared and tissue-specific mechanisms that maintain immune balance at the body’s environmental interfaces. The student will develop and apply computational pipelines for large-scale data integration, quality control, cell type annotation, and spatial and microbial mapping across millions of cells and thousands of samples. Advanced methods such as gene regulatory network inference, deep learning, and foundation models will be used to explore cross-tissue immune regulation and barrier dysfunction. By combining single-cell, spatial, and microbiome data, the project will deliver the first cross-tissue atlas of barrier biology, providing new insights into diseases such as inflammatory bowel disease and chronic respiratory disorders.
+Suitable for Masters, or PhD students. Strong bioinformatics skills using Python or R are essential; experience with single-cell or spatial transcriptomics and knowledge of immunology or barrier tissue biology is highly desirable.
 === The Escape of Human Genomic Data into Public Repositories ===