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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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Engineering, or Aeronautical Engineering. - Knowledge of static and dynamic structural analysis using finite element software. - Knowledge of programming languages applied in engineering. - Experience in
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of experimental data - Molecular Dynamics and Finite Element calculations. . Metallic nanoparticles (NPs) exhibit unique physico-chemical properties departing from those of bulk materials, primarily due
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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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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finite element modeling programs such as SCIRun, COMSOL, or similar Special Instructions to Applicants: Applications should include a CV/resume, a brief (1 page maximum) statement of their career goals
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publications (45%); - Experience in CFD simulation and finite element software for the analysis of building components; energy and thermal simulation; knowledge of digital technologies for geometric definition
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, depending on their background and research project. The post-doc's activities will include: - High-pressure and high-temperature experiments (large-volume presses, resistive and laser-heated diamond anvil
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VALIDATED IN CLINICAL SETTINGS. To develop the following tasks: Development of a predictive model based on finite element simulations of vertebral metastasis. Simulation of different configurations