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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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blotting, cloning, immunostaining, fluorescence microscopy, mammalian cell culture, and biochemical assays. • Strong scientific writing skills with a demonstrated record of publications and presentations
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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for patients. The successful candidate will lead projects investigating these brain functions in rodent and tree shrew (Tupaia Belangeri) models, receiving direct mentorship from the Principal Investigator
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design, molecular laboratory work, bioinformatic analyses, data interpretation, and the preparation of peer-reviewed publications. The candidate will be expected to lead first-author publications and
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ownership: Work on funded projects with room to develop independent ideas and lead publications • Career focused mentorship: Structured mentorship tailored to your goals (academic faculty, industry scientist
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the whole scientist. The successful candidate will lead this project while growing toward research independence, supported by an individualized development plan, structured mentorship, and clear milestones
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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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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a
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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