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cellular neuroinflammation in CNS injury models. Candidates will work alongside additional team members in the VT-School of Neuroscience, Fralin Life Science Institute and The Center for Neurotrauma Research
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. • Possess molecular virology or protein biology skills. • Should be enthusiastic and dedicated, have the ability and interest in learning new techniques; must be able to follow verbal and written instructions
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entitled, Evaluation and validation of vegetation, fuel, and fire behavior tools and technology in hardwood-dominated forest ecosystems of Virginia and the eastern United States. The project is being led by
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. Project Management – Training and supervising research personnel to organize and conduct study sessions. Required Qualifications - PhD in health science, neuroscience, psychology, nutrition, or related
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. Project Management – Training and supervising research personnel to organize and conduct study sessions. Required Qualifications - PhD in health science, neuroscience, psychology, nutrition, or related
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cellular neuroinflammation in CNS injury models. Candidates will work alongside additional team members in the VT-School of Neuroscience, Fralin Life Science Institute and The Center for Neurotrauma Research
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), mitochondrial biology, cardiac remodeling, and cardiovascular physiology. The primary responsibilities of this position include designing and conducting independent research studies using in vitro and in vivo
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spectroscopy, TCSPC, NMR, ATR-IR, PXRD, and surface area analysis will also be components of the work. Required Qualifications - Ph.D. in chemistry or appropriate related field (awarded prior to being appointed
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and