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are the Texas Center for Health Disparities, National Research Mentoring Network, Texas CEAL Consortium, HRSA, Training Programs, AIM-AHEAD and the NIMHD Endowment. Position Overview The Institute for Health
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fibrosis, using novel mouse models and human precision-cut lung slices to study how metabolic networks may reveal disease- and context-specific targets for selectively interrupting pathological cellular
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
enrichment activities. We propose to continue to provide comprehensive training to each fellow with an individualized mentored research experience that focuses on understanding or addressing the complex issues
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
enrichment activities. We propose to continue to provide comprehensive training to each fellow with an individualized mentored research experience that focuses on understanding or addressing the complex issues
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are the Texas Center for Health Disparities, National Research Mentoring Network, Texas CEAL Consortium, HRSA, Training Programs, AIM-AHEAD and the NIMHD Endowment. Position Overview The Institute for Health
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cover all aspects of the drug discovery process. The Postdoctoral Research Associate will receive professional development training, gain valuable networking experience, and collaborate with scientists in
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 16 days ago
Network (TOLNet). The selectee will research innovative analysis methods for synthesizing complex datasets, identifying sources of bias in remote sensing measurements, and contributing to the scientific
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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brings together a global, multidisciplinary network of collaborators and is grounded in a clear mandate: to generate high-quality evidence and build research capacity to meaningfully improve care for
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell