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Field
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, faculty, and staff. Responsibilities: Conduct in-depth qualitative and quantitative data collection with Texas’ agricultural stakeholders, Extension agents, agricultural input suppliers, crop consultants
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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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, fibrosis-enriched imaging phenotypes, multi-omic causal discovery, and AI-enabled target prioritization. The fellow may also contribute to projects related to scientific discovery agents and AI-assisted