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Summary As a lab technician, you will work on a variety of tasks in our gynecologic cancer lab. The work encompasses cell culture, genomics, metabolomics, and molecular biology, utilizing animal models
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parameters for small molecule mass spectrometry or metabolomics, maintenance of MS systems, and the use of relevant data analysis software. Knowledge of current high-throughput MS methods, data analysis, and
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, transcriptomics, proteomics, metabolomics). These positions offer unique opportunities for collaborating with scientists within the Asian Resource Center for Minority Aging Research, New Jersey Minority Aging
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multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimization, data science, and sustainability assessments
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University's background check policy. The work location for this position is in-person on campus at Princeton University.Applications must be submitted online at https://www.princeton.edu/acad-positions
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involved in hormone biosynthesis, degradation, and reactivation, integrating microbiome, metabolome, and cognitive data from large human cohorts (FoCus, SHIP, TREND) as well as complementary mouse models. By
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microbiome, transcriptomic, metabolomic and genomic data to explore metabolic interactions in gut bacterial communities Your main goal will be to reveal the “dark matter” of unknown cross-feeding interactions
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Microbiome Genomics; Transcriptomics, Proteomics, and Metabolomics; Epigenomics; Bioinformatics, Big Data and Systems Genomics; and Environmental and Ecological Genomics are also encouraged to apply
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an advantage. The selected candidate will perform the following duties: -Explore high-dimensional phenotypic data (genomics, transcriptomics, methylomics, metabolomics, proteomics, and imaging, across multiple
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transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques such as MALDI-MSI metabolic profiling and enzyme-constrained GEMs, the candidate will generate region-specific models