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Field
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computational science. Ideal candidates will have strong past experience in numerical analysis and scientific computing. Experiences in scientific machine learning, computational mechanics, and/or nonlocal models
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with pending graduation will be considered. Experience with theoretical approaches in thermodynamics and numerical modelling. Preferred Qualifications: Physical Requirements and/or Unusual Work Hours
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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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validation of developed architectures Therefore, experience in numerical concrete modelling with commercial (e.g., Abaqus) and/or self-developed tools is essential. Experimental experience is a plus. Currently
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meteorological data Numerical oceanographic modeling Development of a warning system for extreme sea levels Analysis of results, writing scientific papers Where to apply E-mail teodora.rogosic@unist.hr
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to independently design, execute, and interpret numerical simulations, and to integrate modeling results with laboratory, imaging, or field data related to frozen soils or permafrost. Strong scientific writing
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existing climate model targets. The postdoctoral researcher will also conduct numerical glacier-climate modelling from GeoPAC2 project output. Salary: Postdoctoral Researcher salary scale €46,805 - €59,654
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Knowledge of atmospheric dynamics, process scale models, and numerical computation techniques Knowledge of data analysis Knowledge of using atmospheric observational datasets, data assimilation techniques
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for: • Advancing numerical modelling methodologies, including AI‑assisted surrogate models • Designing and conducting impact experiments for model validation • Developing research proposals and leading individual
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field