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early-career researcher in applied mathematics, physics, or engineering, with expertise in fluid mechanics1, non-Newtonian fluids, numerical methods, and scientific computing2. Background or strong
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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of computer codes. Specific Requirements Educational Requirements: Knowledge of mathematical and computational modeling with partial differential equations and the finite element method. Scientific programming
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to improve reactor design and synthesis performance. Key Responsibilities: Develop comprehensive computational models for fluid dynamics, mixing, and reaction kinetics in the CSTR. Implement advanced numerical
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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for industry and life. Research field presentation : The Lattice Boltzmann method (LBM) is gaining increasing interest in Computational Fluid Dynamics. While traditional methods rely on a discretization of the
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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, Chemical Engineering, Computational Fluid Dynamics, or Applied Physics. Strong expertise in numerical modeling of multiphase or reactive flows (CFD experience required). Proficiency with at least one CFD
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within the context of the EU-funded SmartEM project , which aims to use AI-assisted methods to create industrial surrogate models from heterogeneous data sources. In SmartEM, we you will have the