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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside
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function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics – particularly statistical mechanics
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of infrastructure networks, which remain fragmented and hinder the coordination needed to address cross-sectoral implications of demand changes (e.g., modal shifts, the use of home batteries). At the same time
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cellular processes at once rather than relying on a few individual proteins. This raises a fundamental question: how do complex cellular networks collectively ensure evolutionary robustness? Within the ERC
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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region was economically and culturally a dynamic region in the late medieval Low Countries. The mid-size commercial towns of Deventer, Kampen, Zwolle and Zutphen were part of the extensive economic network
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do complex cellular networks collectively ensure evolutionary robustness? Within the ERC project PolarRobustness, you will explore this question as part of a team. Your role will be to investigate
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? No Offer Description Job description Consortium This position is part of a European Doctoral Network consortium "Machine learning for integrated multi-parametric enzyme and bioprocess design", where 15