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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability
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strong translational and societal impact component. We are looking for enthusiastic and talented PhD candidates with Essential qualifications An excellent MSc degree in Biomedical Sciences, Molecular
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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reticular framework materials, such as metal organic or covalent organic frameworks (MOFs and COFs). This could lead to responsive adsorption, transport and release triggered non-invasively by light. Another
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cross-border component, such as how activities/facilities across the border in peripheral areas influence perceived accessibility of residents. This research involves the following components 1. How is
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component-level specifications to system-level specifications. This PhD position will focus on the use of contracts for verification, i.e., aimed at guaranteeing system-level properties on the basis
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equipped with a theory of compositional analysis that allows for translating component-level specifications to system-level specifications. This PhD position will focus on the use of contracts
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other elements of our Liberal Arts and Sciences core curriculum, such as project education. Successful candidates have the opportunity to be active in research, ideally in an interdisciplinary way which