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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
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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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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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skills, that advocate for safety and ethics in the workplace. For more detailed information on research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr
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: A postdoctoral position is available in the Chaudhuri lab within the Nora Eccles Harrison Cardiovascular Research and Training Institute (http://www.cvrti.utah.edu), at the University of Utah
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, combining genetic, pharmacological and molecular biology/biochemistry approaches with the latest metabolomics, metabolic flux analysis, and expression profiling assays in cultured cells and mouse tumor models
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bioinformatics, computational biology, analytical chemistry, or related disciplines who have experience working with LC-MS datasets. Experience in lipidomics or metabolomics is particularly desirable, and
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News & World Report for gastrointestinal and hepatology research, and leading programs in biomedical engineering, cell and developmental biology, genomics, microbiome, and metabolomics. The successful