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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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succesful candidate has the following qualifications: An PhD degree in either applied physics, chemical engineering, mechanical engineering or a similar field Profound knowledge of thermodynamics and/or fluid
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
the Job related to staff position within a Research Infrastructure? No Offer Description Description The Laboratory of Applied Nonlinear Dynamics (L.A.N.D.) within the Division of Engineering at New
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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-disciplinary environment? Information Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows
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molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware. You will join a project team of HPC software scientists at KCSC collaborating closely with and driving
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability