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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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and maintain equipment for measuring gas exchange, image and spectral data collection and analysis, and the effect of different turfgrass management options on its visual quality, sustainability and
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tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in precision agriculture and
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2025-Fauria-2 How to Apply A complete application consists of: An application, including academic history, work
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spectroradiometers. Ability to apply AI tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in
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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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biological development, reproduction, sex determination, and/or olfaction/chemical sensing in tephritid pests of agriculture. The research opportunity will allow the postdoc to develop and/or improve
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of scientific research and laboratory operations with specific and expanded opportunities associated with microscopy using a Keyence Imaging System, enzyme kinetic assays using microbial cultures, supernatants
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magnetograms and EUV images. A key component of the analysis will be measuring plasma composition (elemental abundances), as these abundances are believed to remain largely unchanged from the corona
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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