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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. The postdoctoral researcher will study polymer chemistry, crosslinking
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genetics. ● Experience with protein biochemistry and functional assays. ● Experience with mouse infection models. Brief Description of Duties: The Postdoctoral Associate will assist the Principal
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processes and particle acceleration in geospace. Research activities will integrate observational data analysis, theoretical modeling, and numerical simulations to advance our understanding of magnetospheric
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; • Evaluation and interpretation of experimental results; • Performing calculations and numerical simulations in nonlinear analysis software Atena; • Modeling the load-bearing capacity of concrete elements
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large suite of cosmological simulations designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal
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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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related field in hand by May 2026. Preferred Qualifications: Experience in Thermal Spray Materials/Processes/Characterization/Modeling. Experience in Solid Mechanics/Thermomechanics/Finite Element Analysis
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integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies