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biology, genetics, single-cell and spatial transcriptomics, advanced imaging, and bioinformatics. The main objective will be to identify the gene networks involved in muscle morphogenesis, reconstruct
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of diverse PRRSV strains causing extreme pathogenesis and disease. Transcriptomics datasets have been generated via bulk and single-cell RNA sequencing from blood and disease-affected tissues and will be
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Type of contract: 5 month contract The appointed person will be expected to be proficient in gene expression analysis. This will include ability to work with large genomic / transcriptomic datasets
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, CRISPR-based approaches, transfection/transduction, and in vitro bacterial infection models. Apply omics approaches (e.g., epigenomics, transcriptomics, proteomics) to support drug targetidentification and
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, spatial transcriptomics) as directed by senior lab staff. Help with general lab operations, including ordering and receiving supplies and maintaining lab organization Collect, organize, and help analyze
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capabilities to a variety of research platforms, including genomics, proteomic, transcriptomic, analysing microscopy, imaging, and clinical data, and developing the tools and pipelines that help our researchers
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atlas-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations
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. These include immunity, inflammation and thrombo-inflammation with data from multi-omic profiling of circulating immune cells, spatial transcriptomics and genomic datasets. The appointee will be part of a
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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models, with the help of our Engineered Mouse Model Core Facility. Evaluate transcriptome perturbations using next-gen sequencing analysis, RT-PCR, and qPCR. Characterize mouse neurodevelopmental