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responsibly without close supervision Experience in lipid or other nanoparticle formulations with loaded and conjugated payloads will be particularly considered Experience in genomics/transcriptomics
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demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq), and spatial
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irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R programming skills will be a plus
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looking for a creative post-doctoral scientist with strong background in soil microbiome, multi-omics [metagenomics/transcriptomics/metabolomics], as well as bioinformatics. Responsibilities: This
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processing, flow cytometry and FACS sorting, neuronal, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and
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processing, flow cytometry and FACS sorting, neuronal, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and
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RNA metabolism in iPSC models of ALS/FTD. Carry out NextGen sequencing experiments and data analysis to determine epigenetic and transcriptomics changes in iPSC models of ALS/FTD. Carry out
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spatial genomics and histology datasets. Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions. Integrating spatial transcriptomics
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, high-content imaging, and three-dimensional image analysis. Perform and integrate high-dimensional molecular analyses, including single-cell RNA sequencing, spatial transcriptomics, proteomics, immune
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and spatial transcriptomics - Skeletal mechanobiology and functional loading models - Gene therapy and biologic drug development - Tissue engineering and regenerative medicine - Translational studies