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to interdisciplinary research at the intersection of blockchain technology, economics, and game theory. The focus will be on designing, analysing, and optimising economic mechanisms in blockchain-based systems while
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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