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microbial ecology, with experience in high-throughput sequencing techniques and bioinformatics analysis. Expertise in soil science, including soil nutrient cycling, soil microbiology, and ecosystem processes
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either four of these bioinformatics tools: BLAST, Ensembl, InterProScan, Primer3, MEGA, MAFFT, Phytozome, Bioconductor, Geneious, Clustal Omega Proficiency in R Knowledge of plant stress biology Good
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in genomics/epigenetics/stem cell biology; experience with tissue culture and NGS/CRISPR • Facilities: Advanced genomics, bioinformatics, imaging, and flow cytometry, plus collaborations across
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immune responses. Highly motivated candidates with recently obtained Ph.D.s or equivalent degrees in immunology, molecular biology, cell or developmental biology, or bioinformatics are invited to apply
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
. There is also an opportunity to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required
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sorting Bioinformatic and data integration, R/Python Supplemental Qualifications Preferred experience in Familiar with platforms like Visium and GeoMx Engrafting of human lymphoma tissue
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epigenomics, metabolomics, single-cell technique, bioinformatics, genetic animal models, molecular and cellular biology, metabolic tracing, sophisticated virus tools, neurobehavior, opto/chemogenetics, in vivo
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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, the development of clinical diagnostic assays, and bioinformatic analysis of next generation sequencing data would be a distinct advantage. Experience with samples related to Melanoma and Head & Neck cancer
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in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R