43 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions at Texas A&M AgriLife
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center ( https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the
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, including scheduling, supply requisition, safety, and compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic
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) and the integrative modeling led by the graduate student. Apply machine-learning and AI-assisted tools in genome analysis, population and disease-ecology work, and pipeline development, with attention
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep
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-the-art machine learning and causal inference methods. Responsibilities: Evaluate SNAP purchase restrictions and other food and nutrition assistance policies. Study how various food policies affect
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and application of machine learning and artificial intelligence (AI) approaches for crop management, yield prediction, and decision-support systems. Additional responsibilities include preparing
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, DNA repair, etc..) based on candidate expertise and interest. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and databases to conduct analyses
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supervision of Dr. Kiran Gadhave in the Gadhave Laboratory (https://tx.ag/gadhavelab) at Crop Stress Lab (Texas A&M AgriLife Research), Bushland, TX. Responsibilities: Independently lead research projects
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spoken). -Ability to work both independently and as part of an international team. -Ability to multi-task and work cooperatively with others. -Ability to utilize a computer and applicable software to
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Qualifications: PhD degree in a field related to the tasks above Preferred Qualifications: PhD degree in a field related to the tasks above within the broader theme of remote sensing, computer science, or