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Engineering, Mechanical Engineering, Simulation Sciences, or a comparable subject Advanced programming skills in Python are required; basic knowledge of Fortran is an advantage Experience with FEM (Finite
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postdoctoral researcher, you will develop, implement, and analyze cardiac growth and remodeling models in finite element frameworks for cardiac mechanics. Your work will focus on bio-chemo-mechanical and
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service. The successful candidates must have demonstrated experience in teaching lower-level courses in Mathematics (Introductory Algebra, Introduction to Statistics, College Algebra, Pre-Calculus, Finite
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in-house design. Strong ability to use simulation software tools including finite difference time domain methods (FDTD), eigenmode expansion methods (EME), or finite-element methods (FEM), using tools
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field Strong expertise in composite materials, their deformation and failure, and finite element modelling relevant to aerospace or impact applications Experience with high‑rate experimental methods
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propagation in tools used in Friction Stir Welding (FSW) of advanced steel pipelines. The research activities include: Development of thermo-mechanical finite element models for Friction Stir Welding tools
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, or a related field • Strong expertise in composite materials, their deformation and failure, and finite element modelling relevant to aerospace or impact applications • Experience with high‑rate
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. Utilize Finite Element Method (FEM) software (e.g., COMSOL) to perform thermal analysis, modeling heat distribution and dissipation in high-power operational conditions. Define theoretical performance
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theory, such as method of moment (MoM). • Experienced in computational algorithm on Finite Element Method (FEM) • Possess knowledge of electromagnetic theory, such as Dyadic Green’s function and
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motivated Postdoctoral Associate to join a research project focused on multiphysics simulations and computational modeling. The successful candidate will develop and perform finite element-based simulations