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, and cyber-resilient operation of distribution systems and networked microgrids. The successful candidate will contribute primarily to the control and cybersecurity thrusts of a multi-institutional
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Post-Doctoral Fellow - 39540 Faculty Description University of Colorado Anschutz Department: Department of Biomedical Informatics Job Title: Postdoctoral Fellow Position #00846492 – Requisition
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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reimbursement program (if eligible) Our Employee Benefits TTI employees can choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as
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team, leverage the new cancer outreach and education mobile van to distribute information and provide training about cancer prevention and screening, identify community resources for referral and
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will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 05/31/2026 Type of Position: Professional Staff - Project/Program
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, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance