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Field
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations. This unique position combines advanced finite element
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studied. In parallel, mechanical tests at the material scale, conducted by project partners, will be modeled using finite element methods (Cast3m software). These models will then be used to reproduce
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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properties (k, cp) as f(T) Particle Finite Element Method (PFEM) simulations Co-ordination of collaboration with project partners Evaluation, compilation and presentation of results, documentation, preparation
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of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration
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formation of polyhalogens. The applied methods will include first principles methods like DFT, both for finite and periodic systems, ab initio molecular dynamics simulations and calculations of various
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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications