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Field
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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potencia y frecuencias./Finite element study of undesired electromagnetic effects due to high power and frequencies. Where to apply E-mail s.carrazoni@upm.es Requirements Research FieldEngineering
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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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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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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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computational models (e.g., Convection-Diffusion Equations, Finite Element Methods, Computational Fluid Dynamics) to investigate cerebral blood flow (CBF), neurovascular coupling (NVC), and neurovascular system