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Field
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
characteristic features of the welding project based on simulation data from a finite element simulation. You will structure and plan the simulation tests, evaluate them, and build an AI model based on them. You
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additive manufacturing, structural design and related research (e.g., parametric design tools, finite element simulation tools, path planning and slicing tools, etc.). Deep enthusiasm for conducting original
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and specialist in the areas of composite materials, structural mechanics, optimisation and finite element analysis. Apart from computational expertise, the role holder will also be comfortable in
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. The following skills are highly desirable but not essential: Ability to program in Matlab/Python Experience with Finite Element Analysis and Reduce Order Modelling Experience in Rapid Prototyping and CAD Design
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming
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and specialist in the areas of composite materials, structural mechanics, optimisation and finite element analysis. Apart from computational expertise, the role holder will also be comfortable in
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VALIDATED IN CLINICAL SETTINGS. To develop the following tasks: Development of a predictive model based on finite element simulations of vertebral metastasis. Simulation of different configurations
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for developing scaled models for subsystems or components of a wind turbine drivetrain. You will utilize advanced simulation techniques like Finite Element Method (FEM) in ANSYS. You will use programming
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engineering, finite element modelling • Probability theory, stochastic process modelling, statistical tools • Artificial Intelligence and Machine learning approaches • Programming (python) A first experience
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of custom written codes and the use of commercial finite element software and user subroutines that will deliver novel solutions for virtual manufacturing methods. The appointment will be at Research