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. Preferred Qualifications: Knowledge of computer models on watershed assessment and/or flood management. Knowledge of programming or scripting languages such as Python, Fortran, R, or others. Experience in
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to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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-related tasks. Experience in DNA extraction, PCR amplification, and sequencing. Excellent written and oral communication skills. Good disposition to travel and to accommodate a flexible work schedule
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together