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appointed. Application Deadline 9/21/2026 11:59:59 PM Eastern Time Zone Description The Advanced Computing Lab at the Department of Homeland Security (DHS), Science and Technology Directorate (S&T) is seeking
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) Center of Excellence Research Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal
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—from chickens to bison and everything in between. This opportunity is in the endemic swine viruses laboratory group of the Virus and Prion Research Unit, which advances a comprehensive research program
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technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. About Photonics, Electronics, & Quantum Sciences (PE&QS) Materials
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Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent
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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to advance software network controls and data sharing mechanisms to enhance
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personal professional network with federal, university, and industry scientists through collaboration and stakeholder engagement. Mentor(s): The mentor for this opportunity is Nicholas LeBlanc
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surrounding areas to inform the PHAs. Network and gain communication experience through community outreach and coordination meetings with partners and key stakeholders. Learn about priority hazards and evolving
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through participation in professional meetings and trainings and networking with experts. Mentor(s): The mentor for this opportunity is Linda Hansen ([email protected] ). If you have questions about the nature
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data