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Field
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original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data. This position is
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fertilization competency. This research will provide unique training and expertise in genetics and genomics, metabolomics, and male and female reproductive biology. This position also offers exceptional
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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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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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independent design and conduction of genetic, microbiological, and metabolomic studies, experience performing unsupervised work in the BSLIII on M. tuberculosis and M. tuberculosis-infected mice, and ability
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Abilities Preferred Qualifications Preferred experience includes independent design and conduction of genetic, microbiological and metabolomic studies, experience performing unsupervised work in the BSLIII
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on protein and metabolomic patterns in relation to epigenetic patterns and pancreatic beta cell function. Beside ABIS, the scholar will also be able to get involved in the EU-project INITIALISE, with
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Offer Description KEYWORDS: bioinformatics, metagenomics, metabolomics, cancer, machine learning, artificial intelligence Principal Investigator
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
biomanufacturing, elucidating metabolic dysregulation in human diseases, and innovating metabolomics and fluxomics technologies. The successful candidate will drive the construction of novel strains/pathways
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, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets. Familiarity with public