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Field
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microbial contributions to immune system development and disease protection in amphibians, and (3) leading functional genomics work on host-associated microbes. Research will likely include field and/or lab
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multidisciplinary approaches, including CRISPR-based functional genomics, stable isotope tracing, metabolomics, molecular and cellular biology, biochemistry, and mouse models to investigate how nucleotide metabolism
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and investigation into the biology of novel therapeutic targets in pediatric bone sarcomas. Dr. Guenther's research utilizes genome-scale CRISPR screening and other complementary large-scale chemical
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, genomics, computational biology and animal models of disease. Using single cell multiomics, we recently discovered a latent regenerative potential in adult spinal cord stem cells and designed a targeted
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-EM, and/or genome-wide approaches to identify novel RNA-based regulatory mechanisms using RNET-seq, Term-seq, and Structure-seq. Applicants must have recently received their Ph.D. in the Life Sciences
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sequencing (whole genome sequencing, exome sequencing, RNA-seq, ChIP-seq, Hi-C), array CGH, droplet digital PCR, and genome editing. Postdoctoral Associate will study the genetic bases of lung development and
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants
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trainees as appropriate. Required Qualifications · Ph.D. in Computational Biology, Genomics/Epigenomics, Cancer Biology or a related quantitative discipline. · Strong experience analyzing high-dimensional
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cause virulence. We apply interdisciplinary approaches, including genomics, metabolomics, molecular microbiology, microscopy, and pathogenesis studies using mouse models to address these questions. Job
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equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Demonstrated skills in molecular genetic and genomic techniques, including DNA/RNA extractions, qPCR (or ddPCR