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Field
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outstanding research infrastructure in advanced bioimaging (including super-resolution, confocal and electron microscopy), genomics, proteomics, metabolomics, high-performance computing and field research. We
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techniques such as zebrafish microbiota manipulation, molecular biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience
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biochemistry major and doctoral program. The Department has multiple core facilities including cryo-electron microscopy, nuclear magnetic resonance, X-ray crystallography, metabolomics and proteomics. BMBB and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
RNA sequencing data, from primary data processing through biological interpretation. Additional expertise in metabolomics, lipidomics, or other systems biology approaches is highly desirable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
RNA sequencing data, from primary data processing through biological interpretation. Additional expertise in metabolomics, lipidomics, or other systems biology approaches is highly desirable
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, including genomic, transcriptomic, epigenomic, proteomic, metabolomic, and circulating biomarker data derived from patient tissues and liquid biopsies. Our goal is to characterize the molecular processes
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
tissues and organs as spatially organized metabolic and chemical landscapes using imaging mass spectrometry. The PhD project combines spatial metabolomics, spatial exposomics, and tissue morphology
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as
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NIST only participates in the February and August reviews. This suite of projects seeks to advance the microbial metabolomics infrastructure through the development of new analytical methods
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community-scale metabolic models of the human gut microbiome using tools such as MICOM; analyzing large-scale metagenomic, metabolomic, transcriptomic, and clinical datasets from human cohorts; contributing