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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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-based wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster
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Kansas. Two postdoctoral researchers are sought to collaborate with this team of scientists and engineers to integrate modeling and experimental workflows across the project with a particular focus on
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: Postdoctoral Scholar Salary: Depends on experience Starting date: July 1, 2026 (preferred) The Department of Chemical and Biomolecular Engineering at the University of California, Irvine invites applicants for a
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.). Data Engineering & Computational Workflows – 35% Curate, preprocess, and analyze large environmental datasets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications
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of Time • Conduct experimental research, including characterizing mechanisms of plastic and e-waste degradation, genetic modification and engineering of model and non-model microorganisms, designing