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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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large part by members of the precariat rather than the traditional proletariat, has once again put labor organizing on both the political (and academic agenda). From a theoretical perspective, this
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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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the weblike distribution of galaxies in large galaxy redshift surveys, with the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a
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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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political agency. You will be asked to: Conduct research independently (carry out archival work, conduct interviews, analyze the data). Write and Complete a dissertation within the framework of the project in
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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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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