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such as R and SPSS). Knowledge of the environmental challenges and land management issues specific to Texas. This position is funded from grant and/or contract funding which is renewed under the provisions
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biochemistry techniques in weed science is essential Ability to use R statistical program or python is required Expectation of experience in computational tools and unix for analyzing and visualizing large data
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, R, XLstat, Multivariate analysis). Proficiency in Microsoft Office (Excel, Word, Outlook). Willingness to work evening and weekend hours as required. Preferred Knowledge, Skills, and Abilities
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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-resilient crops like tomatoes. Proven record of research productivity with publications in peer-reviewed journals. Proficiency with statistical analysis tools (e.g., SAS, R, XLstat, Multivariate analysis
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such as R and SPSS). Knowledge of the environmental challenges and land management issues specific to Texas. This position is funded from grant and/or contract funding which is renewed under the provisions
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trials, and proficiency in analyzing and interpreting data effectively using relevant statistical methods and software, including R. Knowledge of molecular biology techniques (DNA extraction, PCR, RT-qPCR