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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also
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Engineering or a comparable subject Good programming skills e.g. in Python or Fortran are advantageous Initial experience in FEM (Finite Element Method) simulation tools e.g. ABAQUS or ANSYS Good analytical
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closely related field. Knowledge of human biology especially skin with experience developing biological application an additional plus Experience coding / applying finite difference, finite element or
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experience developing biological application an additional plus Experience coding / applying finite difference, finite element or finite volume methods Experience using optimization software such as GAMS
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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using asymptotic methods. Numerically solving the models using, for example, the finite element method. Collaborating with experimental researchers to validate and refine the modelling. Contributing
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, you will develop a finite-dimensional state observer incorporating piezoelectric sensors. This will involve applying modal decomposition and H-infinity filter design methods to create an effective
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engagement content, and technical analysis using finite element methods. The selected candidate will contribute to proposal writing, conduct infrastructure assessments, and assist in preparing research
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high-order numerical finite element methods and near real-time software for computational simulations involving cardiac ablation treatments for arrhythmias. Initial appointment is for one year, position