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                24 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Physics » Computational physics Physics » Quantum mechanics 
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                9 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Physics » Condensed matter properties Physics » Optics Physics » Other Researcher Profile First Stage 
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                27 Sep 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Other Physics » Condensed matter properties Physics » Optics Physics » Quantum mechanics Researcher Profile 
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                modern applications. Their unique properties make them ideal quantum systems ideal for benchmarking state of the art theories in atomic and molecular physics. The EU-funded Horizon Europe Doctoral Network 
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                Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental 
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                , Geneve 1211, Switzerland Subject Area: Theoretical Physics / Mathematical physics Appl Deadline: (posted 2024/09/29, listed until 2025/09/01) Position Description: Apply Position Description We invite 
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                doctoral and postdoctoral researchers on material surface development, in vivo small-animal studies, in vitro organotypic bone models and in vivo large animal. The research will be conducted collaboratively 
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                . Depending on activity and relevance from the literature, the most promising active compound(s) may be further investigated in animals. We are seeking a motivated and enthusiastic individual with basic 
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                27 Sep 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Electrical engineering Physics » Optics Physics » Other Researcher Profile First Stage Researcher (R1 
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                the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real