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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under
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applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under various operating conditions and develop strategies
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faculty conducting innovative research in areas such as robotics, biomedical systems, thermal fluids, mechanical design, tribology, and dynamics and controls to address a range of societal issues and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Over the past few years, the advent of continuous
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interdisciplinary team. About the Department The Saint Anthony Falls Laboratory is a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
, present at scientific conferences, and contribute to collaborative proposals. Minimum Education and Experience Requirements Ph.D. in Oceanography, Fluids Dynamics, Mechanical Engineering, Applied
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preferred. Expertise in experimental and computational nuclear-packaging safety research and related professional development education is strongly desired. Expertise in thermal fluid science is desirable
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Investigator. The position will maintain dynamic communication with the study investigators, research staff, numerous University departments, federal agencies, and industry partners. This position is required
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multiphoton imaging with high temporal resolution. The project focuses on two applications. The first is dynamic flow imaging for granular systems and opaque fluids, which allows for studying liquid metals used