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Field
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transcriptomics, bioinformatics, zebrafish genetics and live imaging. The postdoctoral researcher will: • characterise the molecular profiles of remodelled skin cells and compare them with neighbouring skin cells
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, spatial transcriptomics, proteomics, metabolomics, and/or microbiome data. Demonstrate flexibility to execute tasks requiring various skill levels and learn new skills as needed. Perform analyses using
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engineering. · Gene-expression and regulatory studies. · Transcriptomic and other genomic approaches for defining downstream consequences of genetic perturbation. · Mechanistic
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to, single-cell transcriptomics and epigenomics, immunohistochemistry, and In Situ RNA hybridization. Additional work will include basic bioinformatics, tissue dissection, RNA/DNA extraction, western blotting
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transcriptomics datasets, and of paired molecular and functional measurements (e.g., electrophysiology), as well as optimally leveraging integration with existing genomics datasets. The role is focused
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. Desirable experience includes working with functional genomics datasets, such as RNA-seq, single-cell or spatial transcriptomics, and experience with metadata standards, data repositories or research data
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position for a bioinformatician (postdoctoral level) to lead the single-cell and spatial transcriptomics analyses within the laboratory of Exercise and Health. Project background The Laboratory of Exercise
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unique expertise in human neuropathology. The team has extensive experience with human tissue, histology, cell culture, microscopy and advanced molecular techniques, including transcriptomic analyses
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will use advanced mathematical and computational approaches to analyse multiplex imaging, spatial transcriptomics and associated clinical datasets, with a particular focus on understanding how tumour
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organisms and transcriptomic data analysis. Previous experience with molecular and genetic assays is required as well as basic experience in bioinformatics and data analysis. Experience in embryo