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the context of Boltzmann machines and neural networks, where stochastic binary units can efficiently perform computational tasks that naturally involve randomness, often more efficiently than deterministic
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experiments and computer simulations of stochastic nonlinear dynamical systems, with a balance to be determined by your interests and skills. For both experiments and simulations, you will learn all
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thinking deeply about the results and modelling them. Applicants are not expected to bring expertise in all listed areas; the required methods will be learned during the project. This is a collaborative
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topic, and who is eager to learn from other disciplines present in the consortium. Working conditions The working atmosphere at the institute is largely determined by young, enthusiastic, mostly foreign