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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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of kidney disease. This will include maintenance of a large mouse colony, including breeding, genotyping, administering medications, assisting with mouse surgical procedures, performing post-operative
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, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
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The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and
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econometric methods to administrative and other large-scale datasets—particularly claims data—to support policy-relevant research on competition and regulation in the U.S. pharmaceutical market
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the Department of Government, please visit: https
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financial and environmental costs and benefits of these practices. We will utilize data collected in a large-scale experiment on commercial farms near Clarksdale, MS to conduct a systems-level analysis of
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). Analyzing and interpreting experimental data and maintaining accurate research records. Preparing manuscripts for publication and contributing to grant applications. Presenting research findings at lab
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disease activity, renal outcomes, and treatment response. - Integrate urine proteomics, tissue transcriptomics, immune phenotyping, and clinical data to define biologically meaningful patient subgroups