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large number of distinct but interacting components. To address these challenges, this project aims to contribute to the development of a control theory that is inherently modular, i.e., that allows
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explore how brand narratives evoke emotions, build relationships, and influence consumer decision-making. By leveraging insights from behavioral science (psychology), data analytics, and AI-driven
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to the TopTreat consortium by analysing and optimising new personalized strategies for osteoarthritis diagnosis and care, based on collected clinical data and technological innovations (TopTreat-onderzoek artrose
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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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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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work will support policy makers to make better-informed decisions. Using large administrative datasets, you will develop models and provide estimates for two policy cases: (i) free-of-charge
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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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to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here . We offer you Wageningen University & Research offers excellent terms
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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