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Field
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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delays can approximate derivatives through finite differences. For instance, the proportional-integral-derivative (PID) controller relies on an output derivative, which is not measured directly. Instead
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/Controls systems CAD software such as SolidWorks Simulation such as Finite element and CFD simulation Hands-on prototyping and fabrication skills to guide students in labs It will be advantageous with
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial
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leveraging expertise with computer-aided design, engineering and prototyping, Computational Fluid Dynamics (CFD), and Finite Element Analysis (FEA) will be a plus. Encouraged to develop and teach laboratory
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properties to them, generates a finite element mesh, and performs virtual measurements. The goal is to build a computational platform that can predict the macroscopic behavior of a material from knowledge of
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elements, heat exchangers, fluid delivery systems, and combustion is highly desired Working knowledge of solid-modeling CAD software and finite element analysis tools is desired Your working location will be
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pathway. Additionally, finite element theoretical modelling and density functional theory calculations will be used to further increase our understanding of the photo-reduction mechanism. Correlating
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the areas of finite element analysis, solid mechanics, and/or strength of materials. Courses may include (but are not limited to) Finite Element Analysis, Advanced Mechanics of Materials, and Strength