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to evaluate epithelial polarization, differentiation and barrier function. Perform functional assays including permeability measurements, transporter activity analyses and transcriptomic studies. Analyze
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial
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development and human diseases, such as neurological disorder, immunology, and cancer. Utilize biochemistry, molecular biology, CRISPR-based genomic screen, single-cell transcriptomics, and genetically modified
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preferred. • Significant experience with one or more of the following types of analysis is highly preferred: bulk and single cell transcriptomics, variant calling, genome assembly/annotation. • Use
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microbiome data. - Perform transcriptomic sampling and analysis of plant roots, fungal tissues, and bacterial samples during co-inoculation experiments. - Assist with microbial culture maintenance, plant
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cells, generate single-cell DNA methylation and transcriptomic libraries, and functionally evaluate therapies targeting resistant states using cell and organoid models. As the first postdoctoral
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-seq and perturbational omics. You will also work with spatial transcriptomics data, using technologies such as MERFISH/MERSCOPE, Visium HD and ATERA. Depending on your interests and strengths, you can
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-sequencing datasets from across a large, international collaborative research network. The role involves establishing a robust pipeline to generate a transcriptome-wide map of STR expression in PD brain tissue
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, molecular and cellular assays. High-dimensional or spatial omics, such as spatial transcriptomics, imaging mass cytometry, spatial proteomics/metabolomics, or single-cell RNA sequencing. Strong publication