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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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Organization U.S. Department of Defense (DOD) Reference Code ERDC-CHL-2026-0003 How to Apply Click on Apply now to start your application. Description The U.S. Army Engineer Research and Development
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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to develop novel statistical techniques, analyze satellite and other remote sensing data, implement machine learning algorithms, assess numerical model performance, improve risk assessment tools, and deepen
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, algorithm development, and data analysis. Why should I apply? This fellowship provides the opportunity to independently utilize your skills and engage with experts in innovative ideas to move the proposed
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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operating conditions, it is important to develop advanced high temperature next-gen materials, thermal/environmental barrier coatings, and adaptive components for high-efficiency multi-domain operational
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300154-SIS Description About the Research This research develops computational methods that enable robots to perceive and
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Networks (DNNs) sparsity. The compute-intensive floating-point 32-bit representation represents remaining non-zero valued network parameters. These approaches need to be improved to develop a real-time
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on the energy constraints associated with their mission planning and logistics of operation. The goal of this research is to develop new techniques and algorithms that can better plan the missions of aerial and