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offering a graduate research fellowship at the Combat Capabilities Development Command – Chemical Biological Center (DEVCOM-CBC). As a research fellow, you will join a community of scientists to support our
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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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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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data have the potential to rapidly check animals and serve as a tool for farmers, ranchers, and researchers. Current research is being done by PI to automate imaging and spectral data to develop and
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advanced computational techniques grounded in physical laws. The research will accelerate the development of reliable predictive capabilities for high-impact, low-frequency rainfall extremes. The successful
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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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utilizing existing and upcoming sensor deployments. The opportunity will include a range of activities and experiences including data collection, image analysis, workflow/algorithm development, sensor testing
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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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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