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Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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(CFD) models, including fluid–structure interaction (FSI) simulations where appropriate, will be developed and validated against experimental measurements. These models will be used to investigate
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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, and industrial partners, will provide interdisciplinary training spanning chemical and mechanical engineering, computational fluid dynamics (CFD), experimental combustion diagnostics, and techno
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are searching for a Division Head for the Computational Fluid Dynamics (CFD) Division in the Fluid Dynamics and Acoustics Office (FDAO) at the Applied Research Laboratory (ARL) at Penn State. The CFD Division
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physical chemistry, reaction engineering, and applied computational fluid dynamics (CFD) to support advanced propulsion, thermal management, and energy system modeling. Minimum Qualifications: Master’s
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modeling, computational fluid dynamics (CFD), and high-performance computing (HPC). Analyze simulation results and publish findings in leading scientific journals and international conferences. Collaborate
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are searching for a Division Head for the Computational Fluid Dynamics (CFD) Division in the Fluid Dynamics and Acoustics Office (FDAO) at the Applied Research Laboratory (ARL) at Penn State. The CFD Division
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configurations, flow channels, electrodes, ion exchange membranes, and catalysts. • Conduct CFD and electrochemical simulations to optimize fluid flow, heat transfer, and current distribution within