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for the statistical analysis of research and experimental data (e.g., Statgraphics, Statistica, R). 6. Knowledge of FEM (Finite Element Method) techniques and tools (e.g., Ansys or similar). 7
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and strength analysis, including the finite element method (FEM). Ability to use measuring instruments and prepare scientific publications in accordance with the publishing standards of international
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and advancement of multi-fidelity finite element models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual
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wearable systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further
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and develop a novel simulator with synthetic atrioventricular valves and will also entail computational modelling (FEA – Finite Element Analysis). § Fabricating and testing synthetic
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strengthen your application: Experience in deep machine learning, finite element modelling, biomechanics, and anatomy What you will do Take courses at an advanced level within the Graduate school of
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: Development and advancement of multi-fidelity finite element models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics
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transitions and fusion zones. Utilize Finite Element Method (FEM) software (e.g., COMSOL) to perform thermal analysis, modeling heat distribution and dissipation in high-power operational conditions. Define
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engineering; (ii) structural dynamics; (iii) finite element modelling; (iv) probabilistic methods in engineering You are curious, organised, detail-oriented, and comfortable taking ownership of your research