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Field
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management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational
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using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 21 days ago
Designing and fabricating samples and fixtures in CAD (e.g., SolidWorks) Conducting Finite Element Analysis (FEA) simulations (e.g., ANSYS, Abaqus) Performing mechanical testing (compression, tension, torsion
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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | about 2 months ago
of materials. • Numerical simulation (CAE) of fluid dynamic behavior using finite element analysis (FEM) and strength criteria. • CAD design (Catia V5, Ansys). Important skills include openness to learning and
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functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
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reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking
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element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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Education & Experience: PhD Must be competent to model rail buckling, rail fracture, and failure of track structure due to moisture sorption using advanced finite element methods. Also, must be competent
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good research practices Basic proficiency in data analysis or computational tools relevant to the project Preferred Qualifications: Experience with finite element methods, molecular biology techniques