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tested and validated to electrochemical systems. The position involves computational method development, scientific software engineering, and large-scale simulations on high-performance computing platforms
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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systemic change levers for scaling alternative socio-economic models for nature restoration. This includes examining the levels of participation in socio-economic models and the challenges of real
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from data. The focus of this position is to apply automated reasoning techniques to scale ILP. A start date before September 2026 is ideal but is flexible. The application deadline is February 5, 2026
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. Understanding these processes requires the integration of detailed site‑level observations with large‑scale data synthesis. Our project combines both approaches to reveal how short‑term climatic extremes alter
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on ongoing changes in northern peatlands, focusing on climate-change impacts on biodiversity and climate feedbacks, as well as the effects of upcoming large-scale restoration efforts. The postdoctoral