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to accelerate the path to certification. More details on the project can be found here: https://hecustom.eu/ TSR patients now expect to regain the full, complex range of motion needed for everything from
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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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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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on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models) to assess and interrogate the issue of
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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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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
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) related to the basics of machine design, engineering graphics, CAD, FEM and other subjects necessary to complete the study program in the field of: machine construction and operation, technical mechanics