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materials. The Computational Mechanics of Building Materials (CMBM) aims to understand and predict mechanical failure in materials and structures. By combining numerical modeling tools with tailored
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communication skills, both written and verbal. Business-oriented mindset with an interest in commercializing software innovations. Desired Skills Experience in numerical modeling of geologic reservoirs and
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learning-based generative models and physics simulation) and data inference (including segmentation, classification, parameter inference and mesh fitting) based on data-driven and (bio)physics-informed
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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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to advance their career by contributing to the Chair of POM. The Chair of POM focuses solely on empirical research. Candidates with a mathematical modeling/Operations Research background are discouraged from
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The position is part of the project Accurate Modeling of Dark Matter – Electron Interactions in Liquid Xenon and Argon, a Swiss National Science Foundation collaborative project with the group
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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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100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to