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improving plant health using machine learning and artificial intelligence. Mentor(s): The mentor for this opportunity is Yulin Jia (yulin.jia@usda.gov ). If you have questions about the nature of the research
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for wheat, barley, oat, and rye. As part of a highly collaborative, multi-disciplinary team, the selected candidate will use his/her computational biology and machine learning background to help develop tools
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about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
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beyond! Point of Contact Cedricka Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree. Discipline(s): Computer, Information, and Data
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such as electrical power. Recent advances in machine learning present new opportunities to enhance the level of fault management and control in NASA's future power system applications. This work aims to
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! Point of Contact Cedricka Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences
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on the principle that by integrating high-resolution Earth observation (EO) data from NASA with state-of-the-art machine learning, we can produce a more accurate, dynamic, and actionable measure of wildfire risk
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educational and professional goals. As the selected participant, you will learn about public health, environmental health risk assessment, military deployment health, and/or environmental exposure assessment
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research interest: ultra-processed foods (UPF), with special attention to understanding nutrient deficiencies that are associated with UPF-rich diets. During the fellowship you will have a hands-on learning
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casualty care. These projects include closed loop physiological controller development, creating in silico computer models for mimicking human physiology in trauma, and automating ultrasound image