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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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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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capable of expressing rich specifications; and ii) come equipped with a theory of compositional analysis that allows for translating component-level specifications to system-level specifications. This PhD
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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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and Landscape, which hosts an active community of PhDs and postdocs. The student will become a member of the Groningen Institute for the Study of Culture (ICOG) where they will follow the doctoral
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will be housed at the Department of History of Art, Architecture and Landscape, which hosts an active community of PhDs and postdocs. The student will become a member of the Groningen Institute
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, you will get an individual training budget to be spent for your own professional development. Most importantly, extremely nice PhD students and postdocs work in our research group, together generating