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understanding of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters
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The PhD will develop AI methods and approaches to enable accurate characterization of metal scrap, for more efficient metal recovery and recycling Job description The volume of available metal scrap
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department at TU/e for finite element-based deformable body simulations. Conduct research on mechanical contact processing models, integrating both physics-based numerical models and data-driven approaches
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Agriculture is responsible for more than 90% of global freshwater consumption and the main driver of overexploitation of finite and vulnerable freshwater resources in many parts of the world. With
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and optimize device architectures using finite element simulations. Fabricate prototypes using 3D printing, and cleanroom technologies. Implement test setups and assess devices performance through
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% of global freshwater consumption and the main driver of overexploitation of finite and vulnerable freshwater resources in many parts of the world. With the demand for food growing, geopolitical dynamics
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to identify that set, in co-creation with stakeholders. The second sub-project, a postdoc track, focusses on pedagogies or structures for guiding students in selecting competencies to be achieved as learning
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health monitoring technology is typically designed for either (i) individual system components/modules (which would require removing the component from the system, which is not possible in practice
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the following requirements. Your experience and profile: Educational background: You should have a Master’s degree in mathematics or AI/computer science (with a strong mathematical component, including writing
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length