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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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the whole project. We are looking for someone who is independent in field-based research and in molecular bioinformatics, and who sees genome data and disease ecology as one continuous line of work
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, Environmental Engineering, Bioinformatics. Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in
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analysis. Knowledge of genomics, bioinformatics, or next-generation sequencing approaches. Knowledge of grant writing and proposal development. Knowledge of controlled-environment agriculture systems
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microbial insecticides and different delivery mechanisms. Knowledge of molecular trophic interaction analysis. Knowledge of genomics, bioinformatics, or next-generation sequencing approaches. Knowledge
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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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reference panels or sequence databases. • Experience working alongside bioinformatics and field teams to interpret results. • A record of peer reviewed publications. • Experience deploying autonomous
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modified organisms. Training or coursework in quantitative genetics, bioinformatics, genomic data analysis, statistics, or computational analysis of sequencing/genotyping data is also preferred
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep
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EPIC, APEX, RUFAS, BCSM, GLEAM, or similar simulation frameworks. Proficiency in scientific programming (e.g., Python, Fortran) for data processing, model development, and computational analysis. What