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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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to work in the Center for Digital Cardiovascular Innovations. The focus of the position will be to design and conduct highly specialized and advanced simulations (FEA, CFD), including coronary artery stents
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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(CFD) to develop and optimize new processes and equipment designs using high-performance computing Develop process- and facility-scale models as the foundation for digital twins of chemical processing
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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HSC Chemistry, JKSIMMet, or advanced modeling techniques like DEM (Discrete Element Method) and CFD (Computational Fluid Dynamics) is advantageous. Excellent communication skills, demonstrated research
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Science, or a related field completed within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
with numerical modeling (e.g., LES, DNS, or CFD) and/or laboratory experiments in stratified or rotating fluids. Ability to work both independently and collaboratively as part of an interdisciplinary