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on materials. Background (preferential): Materials science Additive manufacturing Metallic alloys Material characterization/Materials testing FEM/CFD simulations Additional background that will be valued in
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National Institute of Research and Development for Electrochemistry and Condensed Matter | Romania | about 1 month 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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analytical methods for electromagnetic characterization of lines and cables (characteristic matrices, FEM, MoM-SO, frequency-dependent earth properties, eigen-/modal analysis, wideband line models, etc
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cable or relevant large scale devices C2 Proficiency in numerical tools (e.g. MATLAB Simulink and m-file, Python, FEM-based software including COMSOL, ANSYS, or equivalent) C3 Ability to communicate
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behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
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physics conundrums. Key Duties & Responsibilities Use of CAD design software and waveguide FEM solver Working with and testing anti-resonant, capillary and solid-state fibers Building and troubleshooting
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, using e.g. DFT or the finite element method (FEM) calculate the quantum dynamics of an emitter coupled to phonons with an open-quantum-system approach and using state-of-the-art numerical techniques
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approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models) to assess and interrogate the issue of