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or are not adequate. 2.) Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets, eg., genomics, transcriptomics
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that drive weediness evolution, crop stress tolerance, and breeding improvement. You will help analyze genomic, transcriptomic, phenomic, and physiological datasets from corn, snap bean, soybean, and waterhemp
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interpret multi-omics, imaging, and functional analyses, including RNA sequencing and single-cell transcriptomic datasets. • Prepare manuscripts, research reports, grant applications, and present research
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the field of pulmonary fibrosis using animal and primary cell culture models, single-cell, and spatial transcriptomics approaches. The successful candidate will be expected to build a publication record in
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of treatment response; - transcriptomic and functional genomics analyses in collaboration with consortium partners. The position offers the opportunity to work in a highly collaborative and multidisciplinary
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immunohistochemistry). Analyze genomic, transcriptomic, and phenotypic data to identify mechanisms of cancer progression and therapeutic resistance. Collaborate with a multidisciplinary team of scientists, pathologists
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: mammalian pluripotent stem cell maintenance and directed differentiation, CRISPR/Cas9-based genome editing, functional genomics and transcriptomics, single cell multiomics, and zebrafish imaging-based
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
close supervision Experience in lipid or other nanoparticle formulations with loaded and conjugated payloads will be particularly considered Experience in genomics/transcriptomics sample prep, equipment
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neurons and breast cancer organoids, together with clinical tissue material, to investigate cancer-nerve contact sites using multiplexed immunofluorescence, single-cell and single-nucleus transcriptomics
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, including analysis of genomic/metagenomic/transcriptomic data, would be an advantage. Experience with R, Python, Linux/Unix, sequence-analysis tools, or biological databases is an advantage. Good analytical