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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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growing up in difficult conditions develop enhanced abilities, not despite, but precisely because of their challenging experiences. Research suggests that by navigating and negotiating diverse cultural
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fluctuations.The methods will crucially support the development of stochastic bifurcation theory. During the PhD, you will initially work on a pre-specified subproject of your choosing, which allows you to develop
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collaborative, diverse team. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic