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materials. For the second challenge, achieving cooperative effects by the controlled organisation of a large collection of molecular motors, one approach involves embedding molecular rotary motors in
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and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In this position you will work with real world data and models, aimed
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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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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data
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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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we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees. Because we expect you to work and
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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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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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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project