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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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transformations and also of finite element simulations of shape memory alloys. Physical experiments involve differential scanning calorimetry, thermomechanical testing, and potential nanoindentation of shape memory
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), mechanical testing, or non-destructive evaluation of metals and alloys. Hands-on experience skillsets with finite element methods (ABAQUS), programming languages (Python, MATLAB, C++), experience in signal
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, aerospace, or related fields in engineering A minimum of 5 years of experience Experience in computational mechanics, finite element method, isogeometric analysis, geometric modeling, machine learning, data
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
Eulerian (such as finite element) methods can be used. Proposals should acknowledge the benefits and limits of their technique compared to others. Part of the proposal should consider the need
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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computational mechanics of structures. Strong foundation in shell theory, elasticity, and variational mechanics Experience developing custom numerical solvers or using advanced finite element platforms (e.g
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, single-atom catalysts), analytical instrumentation (including electronics and LabVIEW FPGA programming), finite element modelling using COMSOL Multiphysics, and in-situ/operando spectroscopy, among other
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Responsibilities: Analyze variety of engineering problems using traditional analytical methods and finite element analysis packages to prove designs meet established design standards. Provide hand calculations
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modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications About the Department The Department of Biomedical Engineering is an academic unit