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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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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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) 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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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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, and/or robotics for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control
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to enriching the learning and working environments for all visitors, students, faculty, and staff. Responsibilities: Conduct in-depth qualitative and quantitative data collection with Texas
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in the Teacher Retirement System of Texas -Employee Wellness Initiative -Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs How
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development and training through Aspire, LinkedIn Learning, and internally developed programs How to Appl y Applications must include all job application data or a complete resume. Incomplete applications may
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, LinkedIn Learning, and internally developed programs How to Apply Applications must include all job application data or a complete resume. Incomplete applications may be rejected. Applicants are encouraged
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Wellness Initiative Access to ongoing professional development and training through Aspire, LinkedIn Learning, and internally developed programs How to Apply Applications must include all job application