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Field
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bioinformatics: i.e., analyzing -omics data, e.g., transcriptomics, proteomics, and/or metabolomics (fungal and/or insect), (3) fungal cell biology including microscopy, e.g., fluorescent and confocal, (4) fungal
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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
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the time the employment decision is made. Strong understanding of biological datasets and data modalities relevant to cell biology, such as imaging, transcriptomics, proteomics, or spatial omics Rich
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to characterise epithelial diversity. Findings will be validated using complementary methodologies, including mouse models, confocal microscopy, spatial proteomics, and 3D organoid co-culture systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. The successful candidate will gain experience in a number of immunologic, transcriptomic and proteomic analyses. Importantly, these projects will provide the necessary training and expertise that will translate
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proteomics, including protein identification, quantitation, and thermal proteome profiling, and in mass spectrometry-based targeted and untargeted metabolomics. In addition, the candidate should have
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transformations, soil metagenomics and proteomics and isotope geochemistry. The selected candidate will be responsible for field data collection, laboratory analysis, data synthesis, manuscript preparation and
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project will utilize hematopoietic stem cells from mice to identify metabolic factors that drive stem cell aging using flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence
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to characterise epithelial diversity. Findings will be validated using complementary methodologies, including mouse models, confocal microscopy, spatial proteomics, and 3D organoid co-culture systems
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multidisciplinary approach that integrates cellular and molecular biology, proteomics and phosphoproteomics, and in vitro/in vivo infection models to uncover how organelles such as the centrosomes and cilia