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image-based phenotyping of fruit quality and yield to improve cataloging and characterization of germplasm holdings. The research will generate publishable methodologies and results that support data
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individuals and as communities comprising larger ecosystems. Traits are also often used as parameters in computer models of terrestrial ecosystems and even the entire Earth System (such as climate models used
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, and trace volatiles Advancement of techniques for Imaging and Visualization Under the guidance of a mentor, you may be involved in some or all of the following: Conducting searches of scientific
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in learning how the scientific process is used to solve agricultural problems caused by insect pests. Our respective research programs are focused on using cutting-edge techniques to better understand
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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may reach out to internship.program@netl.doe.gov to request to talk with the hosting researcher if you would
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management of field plot trials, data collection, and database management. Experience in large data analyses Experience with operation optimization Experience with machine learning, image analysis Experience
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machine learning, image recognition, and prediction of damage to tree nuts from insect pests. They will also collaborate with other team members on statistical analysis of data collected as part of
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about the application process, please email ORISE.ARS.Midwest@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have
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, testing, and operation; contributing to the design of plant experiments; caring for and harvesting plant materials; collecting and recording measurements; entering and organizing data; and performing basic