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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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density-functional-theory (DFT) accurate large scale atomistic simulations of defects including dislocations, grain boundaries and precipitates, as well as phase diagrams exploration. A key challenge faced
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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Gyrd-Hansen, Professor and leader of STEMBRACE, Ditte Caroline Andersen and collaborate with researchers from various institutes at SDU, Odense. At DaCHE, we apply economic theory and empirical methods
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research project "Chasing traces of analyticity with applications to operator theory" funded by the Swedish Research Council: Chasing traces of analyticity with applications to operator theory - Mälardalen
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chemical evolution in the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible
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sharing information about wars and conflicts – but also for turning them into a spectacle exploited for profit. The sheer number of social actors involved in reporting conflicts on social media and their
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spectacle exploited for profit. The sheer number of social actors involved in reporting conflicts on social media and their varied interests make it increasingly difficult for news consumers to find unbiased