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/microbiology, and bioinformatics or related field. Experience in multi-omics pipeline development and analyses are required. Experience in wet lab: soil incubation, qPCR, DNA/RNA extraction. Evidence of
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RNA sequencing (scRNA-seq) data analysis is preferred. Additional experience in cancer immunology, neutrophil/myeloid cell biology, flow cytometry, bone marrow transplantation, bioinformatics
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regions in IGH enhancers critical for lymphoma cell growth and confirmed transcription of enhancer RNAs (eRNA) from these regions in cell lines and patients. The goal of this project is to develop a novel
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-laden hydrogels, including assessment of viability, metabolic activity, DNA, RNA, protein, extracellular matrix content, or other related analytics. • Experience isolating, culturing, and characterizing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
measurements of mucus transport, which may include particle transport assays and optical coherence tomography. Related work may include single-cell RNA/ATAC sequencing, RNA in situ hybridization, and CRISPR/Cas9
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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and analysis of RNA and protein, and characterization of cellular signaling and transcriptional pathways. Experimental approaches may include Western blotting, qPCR, immunofluorescence, flow cytometry
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“drylab” techniques. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should
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program focused on understanding how RNA modifications regulate gene expression and cellular function in health and disease. Our laboratory investigates the molecular and biological functions of m6A
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, pneumonia, or Tuberculosis. Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, Cut and Run, as well as bulk RNA-Seq, Proteomics, and Metabolomics datasets, generated from