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Field
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simulation software developed "in house" known as Fluctuating Finite Element Analysis (FFEA), and you will learn how to improve this software so that we can watch a molecule walk. Funding Notes The position
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engineering Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC
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FieldEngineering » Industrial engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications -Manejo de herramientas de simulación por elementos finitos / Use of finite element simulation tools
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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine learning. Guided waves can
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speeds far beyond those of traditional finite element (FE) methods. The key innovation lies in directly modelling discontinuity lines, such as cracks, rather than relying on iterative mesh refinements