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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | 26 days 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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characterization, and/or component validation and verification. Strong background in CAD, finite element analysis, additive manufacturing, integrated computational materials engineering techniques and software
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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describe the damage present in critical areas. They rely on multi-scale finite element simulations with multiphysics couplings between electrical, thermal, and mechanical domains. In addition, it is
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is also placed on your: background in structural and fluid dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and
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codes, finite element or finite different methods, peridynamics, phase field models, multi-objective optimisation methods, CAD. Demonstrated ability to adapt to fast-changing project direction and learn
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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
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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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exhibiting magnetovolume coupling and/or negative thermal expansion; thermal, magnetic, morphological, and structural characterization; magnetic and structural analysis; preliminary experience with finite
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Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2) advanced Finite Element (FE