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remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and quantitative data analysis. Strong writing and communication skills. What You Need
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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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the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a
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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about
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; Contemporary quantitative experience in comparative zoology or population genomics. Required knowledge, skills and abilities: Good communication and computer skills. Ability to multi task and work cooperatively
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software for genetic 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
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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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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in sorghum. Required knowledge, skills and abilities: -Ability to multi-task and work cooperatively with others -Good communication and computer skills Preferred licenses and certifications: -Valid
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. Click here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information: Texas A&M AgriLife Research is seeking applications for a Postdoctoral