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Field
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the model, its numerical implementation in a finite element code, and its validation against experimental data in collaboration with experimental collaborators. You will also engage with the hub activities
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Unit: Mathematics and Statistics Department Position Summary: Conduct experiments using finite Element Analysis. Collect data and analyze biomedical images. Conduct literature review on modelling
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tissue, ion channels, and gene/protein expression; analyzes cardiac cell and tissue super-resolution and electron microscopy imaging data; uses finite-element method software to investigate cardiac tissue
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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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strength modeling. Demonstrated ability in finite element modeling and analysis using commercial finite element software. Additional experience in the areas mentioned in the required qualifications
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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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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regenerative tissue performance modeling Biomechanics (e.g., Finite Element Analysis, Computational Fluid Dynamics). (5) Biofabrication of hydrogel-based scaffolds. Cell-seeding of porous polymer (3D printed
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-speed cameras (in a newly renovated lab dedicated to our research group). A significant component of the analysis will include image processing, including data-driven methods and machine learning. You
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expertise in interdisciplinary mathematical modelling, inverse problems, finite element methods (especially in complex and applied settings), machine learning techniques in scientific and industrial