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ways to reduce agricultural or food waste and introducing new food or material products in waste management systems. The ideal candidate will bring expertise in fermentation and non-chemical processing
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technology, confocal imaging techniques and molecular cloning techniques. Required Special Knowledge, Skills, and Abilities: Excellent oral and written communication skills. Ability to multi-task and work
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of positive for onion thrips DNA) for their efficacy in suppressing the onion thrips population on onion in greenhouse and high tunnel settings. The postdoc will conduct the experiment in the state
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ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image
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at the Texas A&M AgriLife Institute for Advancing Health Through Agriculture (IHA) based on the Texas A&M University campus in College Station, TX. The incumbent postdoc will work with USDA-ARS scientists
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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/) • Microscopy and Imaging Center (https://microscopy.tamu.edu/) • Integrated Metabolomics Analysis Core (https://imac.tamu.edu/) • Chemistry Mass Spectrometry Facility (https://research.tamu.edu/facility
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loggers to collect environmental data and use of imaging system/tools Analyze plant nutritional quality using spectrophotometers and HPLC Statistical analysis and preparation of manuscripts for publications
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databases, perform statistical analyses, present data and perform other computer related tasks as directed by the supervisor Please attach to your complete application: CV/Resume List of references with email