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-timepostdoctoral researcher to implement analytical platforms for metabolomics/lipidomics in human matrices with the broader aim to implement these findings in exposome studies. The project will be executed
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to pathogen survival. The postdoctoral fellow will employ a combination of cell biology, microbiology, molecular genetics, imaging, biochemistry, lipidomics, and metabolic approaches to characterize host
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translated into systemic physiological responses. We combine Drosophila neurogenetics, optogenetics, connectomics analysis, metabolomics, and lipidomics to investigate how these neural signals reshape systemic
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 17 days ago
. The specific objectives are to: Apply biomarker lipidomics and other biomolecules to quantify the sources and fluxes of particles originating from permafrost, watershed vegetation, autochthonous riverine
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seed amplification assays Biochemistry and molecular biology of human brain tissue Generatio and analysis of multiomic (transcriptomic, metabolomic, lipidomic, and related molecular) datasets Preparation
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workflows. Research experience in non-targeted metabolomics, global metabolomics, lipidomics, or closely related fields, including experimental design, sample preparation, data acquisition, data analysis, and
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), ALS, long Covid and other CNS diseases. · Apply multi-omic profiling (small and long RNA-seq, lipidomics) to define exosomal cargo signatures associated with different disease states. · Develop and
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Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic
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12 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral Researcher to join a Research Ireland-funded project focused on characterising the gut bacterial lipidome
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cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic flux analysis and genetically-engineered cancer mouse models. There are also training opportunities in improving grant