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contributions to the forefront of scientific exploration, while actively shaping the future of dynamic systems theory. Only candidates with a Master’s degree should apply. The PhD researcher should have a strong
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opportunity is available for a Ph.D. candidate to join our groundbreaking research in this advanced field. This position provides a unique chance to make significant contributions to the forefront of scientific
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to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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to the development of a control theory that is inherently modular, i.e., that allows for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory
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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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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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three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. Application Application
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, autonomous scientific researcher. At the University of Groningen: a PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and
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PhD candidate in the fields of linguistics, computational linguistics, language acquisition, and/or cognitive science. This fully funded position offers the opportunity to conduct cutting-edge research