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enable you to carry out instrument setup, calibration, preventive maintenance, troubleshooting, and other essential practices for maintaining robust HPLC-MS/MS performance. Experience with large-scale
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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also have the opportunity to contribute to studies on the scaling-up of fermentation and distillation processes, assessing the quality or bioactivity of recovered products, and investigating applications
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practices affect latex yield and quality; Demonstrate knowledge of latex extraction, purification, and concentration processes used in pilot-scale operations; Evaluate and optimize processing methods
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part of and gain training in a collaborative, multi-disciplinary research program incorporating chemical, biochemical, and engineering analyses aimed at development of novel biobased marketable goods
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prediction of agricultural application system performance. You may participate in laboratory, wind tunnel, field, and computational investigations designed to improve understanding of agricultural application
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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approaches to study genes involved in crop trait regulation. Develop skills in analyzing gene function and biochemical pathways associated with plant growth, biomass composition, and crop improvement. Learn
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Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent