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Are you an innovative researcher with a strong background in CFD, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an innovative researcher with a strong background in CFD
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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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-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate
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—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
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dynamic changes of laser power along the scan path on melting process conditions. Besides real-world experiments, effects of fast dynamic changes of laser power can be studied with numerical (FEM, CFD
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available materials to enhance performance and affordability. We are seeking a Post-Doctoral Research Associate to drive the UK work on (i) sorption material development & characterisation and (ii) CFD
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material. For this reason, CFD (Computational fluid dynamics) numerical simulation, providing unique and complementary information to experiments, is an essential tool for the rational design of
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turbomachinery for improved efficiency and compactness. This position would suit a researcher with a strong background in Computational Fluid Dynamics (CFD) and an interest in Chemistry modelling and Machine
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advanced mesoscale fluid simulations such as CFD, Lattice Boltzmann Method (LBM), Pore Network Modelling (PNM), and Molecular Dynamics (MD) with microfluidic experiments. The research targets gas bubble and