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our lab including single-cell transcriptomic analysis and cellular growth quantification in the plant model organism Oryza Sativa (rice) and beyond. The candidate will work here mainly as a cell and
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AgriLife and make a difference in the world! Position Information This position provides leadership to the modeling and analysis of historical data on groundwater extraction and agricultural irrigation in
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on investigating protein anabolic resistance following premature birth, using a preterm piglet model. Responsibilities: In consultation with the PI, designs and executes experiments. Performs statistical analysis
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modeling approaches to evaluate treatment effects, soil–crop interactions, and system-level responses. -Draft high-quality manuscripts for peer-reviewed journals, develop presentations for scientific
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: Expertise in interpreting LC-MS, GC-MS, Raman spectroscopy, and NMR data. Experience in metabolic profiling and quantification of bioactive compounds in plants. Familiarity with computational modeling
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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advanced analytical techniques for material characterization. High-quality research ability as evidenced by a strong publication record. Knowledge of sustainable food production and plant-based food trends
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of animal communities across space and time, with particular interest in questions that provide evidence-based recommendations for the management and conservation of biological diversity. Texas A&M is one of
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intensive longitudinal data obtained through ecological momentary assessment, smartphone-based tracking, and screenshot capture methods. - Manage data submission and sharing in compliance with National
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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available