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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0086 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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for applicants with: a strong interest and expertise in computer science research with a focus on machine learning methods for the health domain strong coding skills familiarity with state-of-the-art machine
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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geotechnics, at the forefront of research in offshore renewables. About the opportunity Lead the development, calibration, and coding of a constitutive model to reflect uncemented carbonate sand behaviour
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-OP-2025-0001 How to Apply Click on Apply below to start your application. Description The U.S. Department of Energy (DOE) Science
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PA-2025-0083 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Support the curation of research data and code in line with a quality management framework Contribute to generating funding through contribution to writing further grant/funding bids to support ongoing