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market opportunities for all major Texas agricultural commodities. Position duties focus on research activities including participant recruitment, data management, data analysis, and scientific writing
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and containment protocols. Data Analysis, Documentation, and Reporting - Maintain accurate experimental records, analyze quantitative genetic and molecular data, prepare figures and summaries, and
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analysis of polyploid plant species, and ability to work with databases and to handle large data sets. Experience in phylogenetic analysis, marker trait association studies and genomic selection in
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. •Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding. •Experience developing AI-enabled decision support tools
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, metagenomics, RNA-seq and transcriptomics analysis • Multi-omics integration • Bioinformatics and data analysis using R and Python • AI/ML-assisted biological data analysis. • Expertise in assay
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in laboratory techniques, experimental design, and data analysis. -Assist with grant proposal development, progress reports, regulatory documentation, ordering and purchasing laboratory supplies and
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-Doctoral Researcher to support applied research projects focused on grazing management and soil health. This position will lead the analysis and interpretation of soil data already collected across
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conducting research into phenomics quantitative genetics and maize breeding. -Utilizes skills and knowledge in these and other areas to complete research projects leveraging new data extraction and analysis
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results. Develops novel hypothesis, experimental approaches & data analysis methods. Leads the writing and communication of research-based peer-reviewed publications. Writes and may contribute to
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Investigator Dr. Alexandra (Lexi) MacMillan Uribe. Responsibilities include playing an active role in data collection and analysis, presentations, publications, project/program conceptualization and development