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initiation and growth. Through a combination of theory, simulations, and experiments, we aim to build predictive models of fracture and provide a foundation for designing soft materials with enhanced
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the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural Network Architectures based
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, modeling, and visualization. Strong publication record in relevant scientific journals. Language Requirements: Proficiency in English (spoken and written). Knowledge of a Swiss national language is an asset
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controlling atmospheric composition, the detailed processes controlling this exchange are not well understood and highly parameterized in models. Long-term eddy flux observations, which are very limited world
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21.07.2025 | Abteilung Facility Services Postdoctoral Researcher in Forest Model Scalability 100%, Zurich, fixed-term 21.07.2025 | Institute