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conferences. Position Requirements The prospective candidate is expected to hold a Ph.D. in mechanical engineering, materials science, civil engineering, structural engineering, or a closely related field
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science, civil engineering, computer science, or a closely related field. Experience with the finite element method. Coding experience in C++ and Python. Skilled in oral and written communications and
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battery electric vehicles. Experience analyzing large data sets. Qualified individuals should have a doctorate degree in engineering (chemical, civil, environmental, mechanical, or similar), environmental
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Argonne is a multidisciplinary science and engineering research center, where talented scientists and engineers work together to answer the biggest questions facing humanity, from how to obtain
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various scenarios. Position Requirements Candidates must have a Ph.D. in Civil Engineering, Transportation Engineering, or a related field. Knowledge of engineering computation as applied to transportation
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completed within the last 3 years) in hydrology, civil engineering or a related field. Knowledge of key approaches for embedding physics in AI/ML models, especially neural operators, physics-informed neural
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completed within the last 3 years) in hydrology, civil engineering or a related field. Expertise in developing, modifying, and working with hydrological and hydrodynamic models (e.g., WRF-Hydro, HiPIMS
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Argonne National Laboratory is seeking a Postdoctoral Researcher in the area of model development and life cycle analysis (LCA) and technology assessment to quantify energy and environmental effects