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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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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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-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
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conferences; Mentor BSc/MSc students. About NL2120 NL2120 is a program in which science, business, nature organizations and education work together to gain knowledge about natural solutions (Nature-based
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about how artificial intelligence is changing state actor powers? Do you want to conduct critical and in-depth legal research at the intersection of technology, law and power? And would you like
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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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, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving
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science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have
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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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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
an excellent opportunity to study the Greek language as written by non-scholarly writers in antiquity. This project will collect, annotate and study the ancient corrections in this corpus to learn more about the