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Field
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manufacturing research. Casting defect prediction, solidification modeling, and process optimization. Integrated Computational Materials Engineering (ICME), CALPHAD, finite-element or computational fluid dynamics
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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: Experience with Finite Element Analysis with ANSYS and/or SolidWorks Simulation Experience with manufacturing using modern methods include CNC mill and lathe, CNC press brakes, laser cutters, and 3D printers
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technical drawing, preferably using Autodesk Inventor, as well as the Finite Element Method (FEM), ideally including modal analysis using Abaqus, complements your technical background. Knowledge of Python is
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structural components iv. Data acquisition, instrumentation and monitoring during laboratory testing Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and
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, or similar applications. Apply finite element analysis (FEA) and structural analysis software, including MSC Nastran, NX Nastran, Femap, ANSYS, or comparable tools, to evaluate and optimize mechanical designs
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wide variety of stakeholders, in a variety of methods, for example verbally or in presentation or written format Use of CAD packages to generate design solutions and assess designs using finite element
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to hear from you if you have experience or qualifications in any of the following areas: Experience with Finite Element Analysis with ANSYS and/or SolidWorks Simulation Experience with manufacturing using
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into the Computer-Aided Design and Finite Element Analysis software tools used by Navantia DURATION OF THE CONTRACT The contract will be indefinite, in accordance with applicable law. It is cautioned that the context
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
., finite element simulation, crystal plasticity modeling, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new