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of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
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in preharvest and post-harvest production and processing. This project will focus primarily on safety and quality inspection using spectral imaging techniques such as fluorescence, reflectance, and
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Service (ARS) in Maricopa, Arizona seeks applications for a Post-Doctoral Fellow to investigate turfgrass agronomy, physiology, and genetics of different turfgrass species for improved drought, heat and
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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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about the application process, please email ORISE.ARS.Southeast@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have
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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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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. The selected candidate will participate in all aspects
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production systems. They will have the opportunity to learn how to program and maintain field based infrared gas analyzers, how to assess data quality, and to post-process, and analyze high-frequency EC data
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prototype grading rubrics, and rank treatments chosen for each condition and the required timeframe for their application based on their potential impact on morbidity/mortality. Why should I apply? Under
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insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Midwest@orau.org