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, microscopical, and high throughput phenotyping technologies with plant stress research. Hands-on experience in the use state of art physiological instrumentation,genetic/genomic analysis, data collection, and
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land emission sample collection and processing; Laboratory methods for assessing soil physical, chemical, and biological parameters; Data summarization and analysis. This opportunity will provide
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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USDA-ARS High-Throughput In Vitro Screening of Antimicrobial Compounds Against Phytoplasma in Cherry
PCR, quantitative real-time PCR (qPCR), and reverse transcription qPCR (RT-qPCR) to quantify pathogen dynamics and gene expression. Data Analysis & Synthesis: Learning to process, analyze, and interpret
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coursework and/or a background in transportation, collection analysis, data analysis, computer programming, technology, outreach, and/or communications. Have a demonstrated ability to meet established
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are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic or life-cycle analysis is considered a
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of the appointment start date. Master's is preferred, however bachelor's degree in data science or related field will also be considered. Preferred skills: Data analysis and visualization Strong analytical and problem
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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preferred skills: Laboratory experience with PCR, NGS, or other molecular methods and data analysis Experience developing, optimizing, evaluating, or validating molecular assays. Strong written and verbal
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improve food safety. Strengthen skills in experimental design, data analysis, scientific communication, and interdisciplinary research. Mentor(s): The mentor for this opportunity is Sohyun Cho (sohyun.cho