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of the mineralogical model of the Earth's whole mantle (upper mantle, transition zone, and lower mantle) clarification of the differentiation process of the early Earth from fully molten state exploring the internal
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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