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The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s research will involve synergistic collaborations with a
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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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. Ability to perform finite element simulations using software such as COMSOL, ANSYS, or ABAQUS. Experience in utilizing these tools for in-depth analysis is highly desirable. Required License/Registration
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. Extensive experience in the development and application of finite element method (FEM) or comparable methods for AM applications. Preferred Qualifications: Demonstrated expertise in multi-physics simulations
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metal-organic frameworks, 2D/hierarchical structures, nanoparticles, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using
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to Earthquake Engineering. Strong skills in nonlinear mechanics, soil-structure interaction, and beam finite element theory are particularly desirable. Proficiency in programming, especially using Matlab
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, as well as numerical methods for partial differential equations, especially finite element methods, both theory and implementation. A successful candidate will work in the topics of interests, which
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to electrochemical engineering, ideally a mix of computational and experimental methods. Emphasis will be on selecting candidates with prior experience with computational methods. Prior experience with Finite Element
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. in Materials Science, Mechanical Engineering, Chemical Engineering, or a closely related field. Demonstrated expertise in techniques, e.g., electron microscopy, finite element analysis, or other