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Field
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techniques. -Experience analyzing omics data using bioinformatic tools. -Proven record of publishing first-author peer-reviewed papers. -Experience working with honey bee biology and/or beekeeping practices
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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photoreceptors and hair cells, and potential treatments. We utilize mouse models and various approaches in molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and
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of biochemical, biophysical, molecular, cellular, and bioinformatics approaches. Collaboration with structural biologists is possible. Postdoctoral scholars at the University of Kansas Medical Center
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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Original research publications Presentation skills Experience working with mouse models Knowledge of bioinformatics
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients