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the increased size and heterogeneity of such systems, which typically comprise a large number of distinct but interacting components. To address these challenges, this project aims to contribute
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-property relationships are rare, providing a large open catalyst space to be explored. This project will rely on data-driven workflows for the closed-loop design of ligands that will facilitate challenging
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in these reactions is still rather limited and comprehensive structure-property relationships are rare, providing a large open catalyst space to be explored. This project will rely on data-driven
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science (psychology), data analytics, and AI-driven methodologies, you will contribute to a deeper understanding of how brands create engaging, emotionally resonant, and effective advertising. Supervision
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membership, the changed class structure of the international labor movement, which is driven in large part by members of the precariat rather than the traditional proletariat, has once again put labor
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in motor learning—the process of using sensory systems to acquire and maintain movements. Our expertise ranges from large-scale body movements to fine-grained actions like speech. We bring diverse
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Astronomical Institute, the last 2 years at Tartu Observatory. The PhD research project has the purpose to analyze and combine the weblike distribution of galaxies in large galaxy redshift surveys, with
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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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our eyes: on the screens of our computers and smartphones. Social media in particular have become a powerful platform for sharing information about wars and conflicts – but also for turning them into a
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, and how do children resolve it? While previous studies approached these questions by annotating large amounts of language produced by adults or children, we approach the question by employing