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energy poses many challenges to the current status of control theory. Namely, existing control methods do not scale with the increased size and heterogeneity of such systems, which typically comprise a
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such as occurring in high-tech manufacturing, autonomous vehicles, and smart energy poses many challenges to the current status of control theory. Namely, existing control methods do not scale with
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. Namely, existing control methods do not scale with the increased size and heterogeneity of such systems, which typically comprise a large number of distinct but interacting components. To address
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the political sphere targeted by it. Methodologically, research in this project employs qualitative methods, incorporating a systematic literature review, multimodal discourse analysis, media diaries, focus
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of gendered multimodal disinformation, its perception by audiences, and its impact on women in the political sphere targeted by it. Methodologically, research in this project employs qualitative methods
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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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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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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll