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movement analysis, musculoskeletal modelling (e.g., Opensim, AnyBody) Experience in application of BEM/FEM computational methods Background in Tribology / Medical Devices Experience in advance mechanical
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on materials. Background (preferential): Materials science Additive manufacturing Metallic alloys Material characterization/Materials testing FEM/CFD simulations Additional background that will be valued in
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analytical methods for electromagnetic characterization of lines and cables (characteristic matrices, FEM, MoM-SO, frequency-dependent earth properties, eigen-/modal analysis, wideband line models, etc
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cable or relevant large scale devices C2 Proficiency in numerical tools (e.g. MATLAB Simulink and m-file, Python, FEM-based software including COMSOL, ANSYS, or equivalent) C3 Ability to communicate
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implant loosening and wear/abrasion for anatomical and reverse TSR systems. This includes the use of interfacial BEM or FEM friction and wear models, as well as biological bone ingrowth models, to predict
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning
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using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
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the finite element method (FEM). Develop and implement a three-dimensional numerical model of the EcoCool thermoelectric cooler. Carry out simulations of output energy parameters of the EcoCool demonstrators
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investigations, 8. Ability to prepare engineering documentation, including creating 3D models in CAD systems (preferred: SolidWorks and Siemens NX), 9. Knowledge of numerical analysis systems (FEM), in particular