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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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bioinformatics. Experience working with maintenance of parasite life cycle. A record of peer-reviewed publications in the field of parasitology. Strong background in classical and molecular parasitology diagnostic
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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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related field. A well-qualified candidate for this position will also possess: Working experience with Bayesian analysis and MCMC. Bayesian Modeling. MCMC computation. Bioinformatics. Clustering. Salary
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, and basic bioinformatics tools. Write quarterly research reports summarizing experimental progress, data analysis, and findings. Assist with documenting laboratory records. Attend and participate in
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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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several of these disciplines that includes stem cell, exosome, EVs, organoid, microrna, lncrna, histone, methylation, molecular and cell biology, epigenetics, mouse model, and bioinformatics skills
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. Familiarity with computational tools for analyzing sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or