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Position Title: Postdoctoral Research Associate – Computational Modeling and Materials Design Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities
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driver’s license and meet University’s Fleet Safety Program. Preferred Qualifications: -Experience with lighting controls systems, including troubleshooting and installation -Experience working with Variable
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, probabilistic modeling, and agentic generative AI, enabling predictive analysis and machine learning for scientific advances, particularly in physical sciences. This role is intended for a candidate with deep
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of the existing strengths in the department, which include numerical weather prediction, climate modeling, high-impact weather and climate events, boundary layer meteorology, and surface hydrology
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modeling capacity and explore what-if questions and trade-offs Predictive modeling across temporal and spatial scales Why Join Our Team You will work at the intersection of soils, crops, drones, climate
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, validating, and deploying machine learning models to predict complex physical phenomena, including physical system trajectories. The research will incorporate uncertainty quantification and model calibration
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analytical approaches and technological tools (e.g., artificial intelligence, remote sensing, environmental informatics, predictive modeling, and/or environmental genomics). Research should address pressing
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improve system coordination and effectiveness for Iowa families. (https://i2d2.iastate.edu/). We are a motivated, action-oriented team that values communication and collaboration. We operate a blend of
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emphasizes applied software development while spanning domains such as robotics, computer vision, sensing, controls, data analysis, and embedded systems. The engineer will work on interdisciplinary projects
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‑scale multi‑omics data. Responsibilities include identifying differentially expressed genes, predicting protein–protein interactions, and evaluating functional enrichment. Additional duties include