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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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including the active exchange of data and results, regular team meetings, and integrative analyses. You will be supervised by a team of scientists from Naturalis and NIOZ. Training and courses during the PhD
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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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them for a high-level impression of the style of research: [1] A. Blessing, A. Blumenthal, M. Breden and M. Engel. Detecting random bifurcations via rigorous enclosures of large deviations rate functions
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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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, 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
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historical data. She specialises in the archaeology of the Mediterranean, and more specifically Ancient Greece, but she has also studied the Dutch Middle Ages and the Mayans. Her research spans the natural