42 model-driven-engineering-"Data-driven-Materials-Modeling" Postdoctoral positions at Virginia Tech
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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or Immunology. The successful candidate will work on an interdisciplinary research project focused on murine models of brain injury and innate immune regulation. Qualified candidates will be expected to work in a
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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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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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. Ph.D. must be awarded no more than four years prior to the effective date of appointment, with a minimum of one year eligibility remaining. Preferred Qualifications - Experience with rodent models
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organoids. Candidate FDA approved drugs will be tested using organoid systems and animal models of infection. The initial focus will be on RVFV, but may be extended to other emerging viruses. The research
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, improving faculty pre- and post-award service, strengthening compliance support, generating better research intelligence, and creating a scalable model for responsible AI use in research administration
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working with norovirus and rotavirus. • Experience working with infectious disease animal models, including performing inoculations, blood collection, clinical symptom monitoring, euthanasia, gross
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include behavioral measurements, fMRI, EEG and organoid ex-vivo modeling, and measurements will be collected longitudinally. Our goal is to create stratification that will meaningfully inform the future
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current