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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
powering AI data centers and new manufacturing. Critical Minerals: Support implementation activities related to President Trump’s Executive Orders and Presidential Memorandums for critical minerals. Conduct
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will receive full consideration. Key Responsibilities AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program Support for the PRad-II and X17 experiments
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to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information Position Summary The Postdoctoral Research Associate will contribute to an integrated research
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current resume/CV, including academic history, employment history, and relevant experiences. One Recommendation - Applicants are required to provide contact information for one recommender to submit
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supporting nationally significant energy finance initiatives while developing professional skills in research, analysis, and supporting federal program operations. For more information, visit Energy Dominance
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for binding critical minerals and materials. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Biological Nanostructures, Data Science and Infrastructure, Imaging
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of expertise. Assists with the preparation and cleaning of worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Mentoring May assist
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Desired Start Date 01/12/2026 Job Summary This position will work with collaborators on analyzing imaging data, physiological data and behavioral data from the BrainHealth Project. Minimum Education and
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, computer science, or a closely related field by the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas
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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven