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• Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0202-NPP-MAR26-JPL-HelioSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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Previous Job Job Title Post-Doctoral Associate, Dr. Xue Feng Next Job Apply for Job Job ID 372470 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
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Organization U.S. Department of Energy (DOE) Reference Code DOE-RPP-NMLEEP-2026 How to Apply Click on Apply below to start your application. Application Deadline 5/9/2026 1:50:00 AM Eastern Time
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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: A postdoctoral position under the supervision of Professor Gregory Handy
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that can be implemented across multiple studies within research networks. Support quality assurance processes to ensure consistency in how economic data are captured, coded, and reported across participating