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opportunity to work collaboratively to integrate microbial phenotypic data (e.g., fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models capable of predicting and
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for this position will join a team of computational biologists to work on multi-omic sequencing datasets (DNA, RNA, epigenetic, spatial transcriptomics and spatial proteomics) in the context of pre-clinical and
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, differentiation, and function. · Utilize gene-editing and transfection approaches where appropriate to develop experimental cellular models. · Conduct imaging, transcriptomic, proteomic, and functional analyses
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chickens’ Campylobacter susceptibility. The postdoc will have a leading role in the large-scale multi-omics (“hologenomic”) data analysis to integrate/synthesize the genomic, transcriptomic, metagenomic, and
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this role, you will provide academic leadership in cutting-edge single cell and spatial biology methodologies, including but not limited to multi-omics, spatial transcriptomics, advanced imaging, high
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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immunity. The successful candidate will generate, analyze, and integrate multi-omics microbiome datasets, including shotgun metagenomics, 16S rRNA sequencing, single-cell transcriptomics, and proteomics
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analysis, and comparative transcriptomic methods Experience/skills in imaging and image analysis, knock-out methods, electroporation, transgenics, in vitro stem cell models, and mechanical perturbation
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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underpinnings that govern the growth of the developing, adult, and diseased human brain vasculature at single-cell resolution, ii) to uncover the single-cell transcriptomic, genomic and epigenomic landscapes and