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, the sector would turn from a flexible net electricity producer into an inflexible net electricity consumer. The grid would lose flexible CHPs and need new, ad-hoc dispatchable capacity investments, as already
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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. Experience with the FAIR principles and preferably the DCAT metadata standard. Knowledge of (and experience with) semantic interoperability. Ability to translate complex topics into clear and accessible
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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something for you! Information How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative
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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which
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of new materials using earth-science specific knowledge on texture, structure and composition of complex natural materials. We also welcome research on nature-inspired solutions to societal challenges, e.g
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entrusted to AmsterdamUMC, who is the partner leading the consortium. Position We are looking for a proactive Project Manager who will manage the execution of the project within a network of university
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become more diverse, inequalities also become more complex, with social, cultural, and economic differences intersecting and reinforcing one another. International institutions play a key role in
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scientific research in electrochemistry and materials for electrochemistry to distil complex science into core principles and develop methods that advances teaching and learning. The project is part of