84 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Texas A&M AgriLife
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here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information The joint laboratory of Drs. G. Cliff Lamb and Ky Pohler at Texas A&M AgriLife
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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 part of AgriLife and
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school students. Attends weekly meetings throughout the school year to discuss program implementation. Enrolls in and completes the Master Wellness Volunteer program (https://agrilifeextension.tamu.edu
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-making and behavior (https://hbl.tamu.edu ). Responsibilities The Postdoctoral researcher will work primarily on collaborative research in the Department of Agricultural Economics and the IHA under
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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 part of AgriLife and
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activities requiring an advanced level of knowledge in a field of science or learning, are predominantly intellectual and varied in character, and require consistent use of discretion and judgment
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computer and applicable software to maintain notes, populate databases, perform statistical analysis, present data and perform other computer related tasks. - Basic computer skills (Excel, Word, PowerPoint
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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 part of AgriLife and
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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 part of AgriLife and
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on HPC, institutional servers, and cloud platforms (Azure, AWS, Databricks). Implement FAIR-compliant data stewardship and governance. Applied Machine Learning and Statistics Apply statistical models, ML