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Field
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, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages this data and advanced AI, medical, and computational models to generate insights into disease mechanisms, identifying
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in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. Link to Apply: https://uic.csod.com/ux/ats/careersite/1/home/requisition/19915?c=uic About the
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/Pharmacy PhD student Experience in analysis of microbial extracts and lipids (e.g., TLC/HPTLC) Desired qualifications: Experience in LC–MS/MS, UHPLC-HRMS/MS and/or metabolomics-based analysis Oral and
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leadership. We are currently looking for the postdoctoral associate with expertise in untargeted and targeted metabolomics/lipidomics. Prior experience in these applications is highly preferred with a proven
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Health Sciences Immunology, Inflammation, and Infectious Disease (3i) Initiative Mountain West Microbiome Alliance (MoWMA) and related collaborative initiatives Extensive biobanking, genomics, metabolomics
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health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in
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Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics
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Technology) and Centers (CDC Southeastern Center of Excellence in Vector Borne Diseases, Inflammation & Mucosal Immunology, NIH Southeast Center for Integrated Metabolomics, Translational Research in
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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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, genomic, proteomic, and metabolomic technologies to answer lab-specific questions related to vascular biology, trauma physiology, and sepsis mechanisms. Large Animal (Porcine) Studies • Extensive