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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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phase-field methods within finite element frameworks with advanced experiments in simulated nuclear reactor water environments to predict material lifetime. The project includes materials characterization
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of academic background and scientific publications (45%); Experience in analysis and simulation and finite element software for the analysis of building components; energy and thermal simulation (30
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exhibiting magnetovolume coupling and/or negative thermal expansion; thermal, magnetic, morphological, and structural characterization; magnetic and structural analysis; preliminary experience with finite
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Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2) advanced Finite Element (FE
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the Graduate school of Solid and Structural Mechanics at Chalmers. Pursue your own doctoral studies related to the project Develop and implement material models, finite element codes, and calibration procedures
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like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills. German language