104 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Zintellect
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. The anticipated stipend range is $40,000 - $55,000 annually. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract
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dairy production systems, soil ecology, forage production, forage quality, nutrient management, and ecosystem services. Research Project: The perennial grass breeding program at the USDFRC develops cool
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. The research participant will help the USDA ARS scientist in meeting National Program milestones by (1) establishing conventional and no-tillage experiments with different planting dates, seeding rates, and
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. The anticipated stipend range is $45,000 - $85,000 annually. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract
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. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the
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available to U.S. citizens and Lawful Permanent Residents (LPR) only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak
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educational level and experience. The anticipated stipend is $73,000 yearly. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU
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Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge
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Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge
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also explore data integration techniques, apply machine learning approaches, and utilize high-performance computing resources to contribute to achieving the project objectives. Learning Objectives: With