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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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infrastructure, including robotic high-throughput cultivation and Next-Generation Sequencing, and is closely integrated into international networks and projects. The University of Bern seeks an outstanding
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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-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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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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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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products is a strong plus. Excellent laboratory and organizational skills; ability to work independently and as part of a collaborative team. Good communication skills in English. In
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network. Preference will be given to candidates with strong communication and collaboration skills. Good knowledge of French (native or minimum B2, C1 ideal) or willingness to acquire it quickly. Further
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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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interdisciplinary expertise in bioethics, philosophy, social science, medicine, public health, data science, policy and law. We pursue high-level scholarship, participate in international research and policy networks