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: This project focuses on the development, optimization, and validation of functional antibody assays to evaluate immune responses to Bordetella pertussis. This will support ongoing efforts to better characterize
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integrating advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques with process-based crop models, this research will empower farmers to optimize conservation practices, increase
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American farmers' need for innovative agricultural technologies and management systems to optimize resource use, mitigate abiotic stress impacts, and improve farm profitability. This research aims to bridge
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Maintaining soil health is essential to optimizing the productivity of America’s farmland
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Maintaining soil health is essential to optimizing the productivity of America’s farmland
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Maintaining soil health is essential to optimizing the productivity of America’s farmland
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pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal
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years. Preferred skills: Demonstrated ability to publish research findings in peer-reviewed journals Experience in bioprocess optimization and scale-up Ability to research independently, troubleshoot
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control and statistical analysis Learn about optimizing liquid handler to automate biomolecule assembly on electrodes Participate in development of techniques for high throughput optimization of sensing