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Field
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sequencing Spatial transcriptomics Multiplex imaging Bioinformatics R or Python programming Tissue culture techniques Animal models Interest in translational cancer research, immunotherapy, and neuro
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sequencing and analysis Experience using metabolic models Experience generating and analyzing systems biology datasets such as proteomics, transcriptomics, metabolomics, and fluxomics. . Job Application
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biology including designing synthetic operons, constructing plasmids, and genome editing Experience generating and analyzing systems biology datasets such as proteomics, transcriptomics, metabolomics, and
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transcriptomics and T-cell receptor (TCR) repertoire analysis Translational studies supporting human malaria vaccine clinical trials Primary Duties and Responsibilities Design, develop, and execute independent and
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projects to completion Strong experience in experimental microbial systems biology and molecular biology Experience in multi-omics data generation, analysis (transcriptomics, proteomics, metabolomics) and
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biology, genetics, and/or animal models of human disease. Experience in, cardiomyopathy, cellular senescence, cilia biology, PKD, and/or bioinformatics, particularly single-cell and spatial transcriptomics
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of intestinal immunity and inflammation, high-parameter flow cytometry, and molecular biology is desired. Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
repair. We utilize lung-specific transgenic mouse models along with ex vivo models, in vitro assays, transcriptomics, and proteomics to study the fundamental mechanisms whereby integrins and their ligands
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, metagenomics, RNA-seq and transcriptomics analysis • Multi-omics integration • Bioinformatics and data analysis using R and Python • AI/ML-assisted biological data analysis. • Expertise in assay
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computational approaches Perform spectral flow cytometry and standard bioinformatics analysis of single-cell and spatial transcriptomics data, correlating findings with imaging data Present findings at lab