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interdisciplinary and qualitative empirical research and a sense of urgency for turning theory into practice and practice into theory in close collaboration with the research team and their partners. Information and
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We
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future of their village communities. It will do so through an interdisciplinary framework that builds upon theories and methods from cultural and rural geography and media literacy education. The project
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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. Demonstrates a solid understanding of educational theories and practices, preferably with some experience in instructional design, teaching, or instructor education. Possesses strong communication and academic
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oriented university that ranks among the top European universities. Researchers and lecturers in numerous fields are passionate about their work and are given the opportunity to develop. The university makes
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a Master’s degree in mathematics, with some background in probability theory and analysis. • Interests: You should have a strong interest in stochastic analysis and dynamical systems and their
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-world challenges in food supply chains and are driven by a strong ambition to bridge theory and practice. You are motivated to contribute to sustainability by addressing methodological questions in