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technologies with particular emphasis on barrel finishing and vibratory finishing; finite element simulation techniques applied to space components and simulation of metal powder printing processes; operational
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. Finite Element Analysis (FEA): Ability to simulate and analyze the behavior of mechanical components and structures under various loads and conditions. AI/ML in Mechanical Systems: Capability to integrate
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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
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for developing scaled models for subsystems or components of a wind turbine drivetrain. You will utilize advanced simulation techniques like Finite Element Method (FEM) in ANSYS. You will use programming
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or an equivalent mix of education and relevant experience in similar role. Demonstrated expertise in finite element modeling (COMSOL, Abaqus,FEniCS/MOOSE) and dielectric spectroscopy (BbDS/TSDC). Strong record
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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communication skills in English Strong background and knowledge of the Finite Element Method or any other relevant numerical methodology. Other valued skills (not mandatory): Authorship or co-authorship of journal
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design of tools for Cold Compaction (CC) and Friction Stir Extrusion (FSE) using CAD software. 2. Testing and validation of the different tool geometries using Finite Element simulations in ABAQUS. 3
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techniques. Classify and characterise microstructural defects during the machining process, with a view to devising tooling and parameter modifications. Carry out analytical modelling and finite element
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of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems