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Proficiency with molecular techniques (e.g., RNA extraction, qPCR) and/or advanced imaging Strong quantitative/statistical skills. Excellent written and oral communication skills, with a demonstrated record of
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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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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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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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; Contemporary quantitative experience in comparative zoology or population genomics. Required knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively
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influencing soil organic carbon, soil erosion, and nitrogen processes on croplands and pasture lands in the CONUS. Prior solid experience with process-based models, particularly EPIC, FEST-C, or other related
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical
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conduct treatment as well as evaluate treatment processes. Maintain laboratory records, QA/QC procedures, inventory, and safety compliance etc. ●30%: Results Interpretation, Reporting, and Documentation
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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