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these codes into three widely used HPC libraries: MAGMA, SLATE, and SLEPc. You will collaborate with Environment and Climate Change Canada (ECCC), the Canadian meteorological office, to lead the integration
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0150 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0166 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0158 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2025-0167 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2025-0022 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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particular interest in repeat expansion disorders and conditions caused by variations in non-coding DNA. One of the main commitments of his lab is the further elucidation of the mechanism and development
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research students. Develop and adapt the G-ADOPT code, including application of its adjoint capability, to develop a new three-dimensional model of Antarctic glacial isostatic adjustment with uncertainty