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affiliated labs at both ETH Zurich and EPFL, in collaboration with Jessica Dehler Zufferey , the EPFL Operational Manager for CLUE Developing formats for regular communication, collaboration, and networking
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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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-systems-based alternative to data-based system modeling via neural networks. SSM-based modeling provides explicit and predictive polynomial ODE models for the observed dominant dynamics of nonlinear systems
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and quantitative science. Fluency in English, both verbally and written, and good communication skills are a must, as is experience with a higher programming language (e.g., Fortran, C, R, Python). You
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/jiec.13205 Komkova A., Habert G. 2023. Optimal supply chain networks for waste materials used in alkali activated concrete fostering circular economy. Resources, Conservation & Recycling. DOI:10.1016
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or interest in studying collective action and information-sharing systems Demonstrates strong writing and communication skills in English Shows intellectual curiosity and a creative approach to problem-solving
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engaged with scientific developments and peer communities. Profile A PhD in geosciences, natural or engineering sciences, data science, or a discipline pertinent to Earth observation. At least 8 years of
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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expertise to support space projects and space missions in both traditional and more modern setups and partnerships. Supporting activities involve both communication to researchers about opportunities by
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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