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data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with stakeholders
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extraction, alignment, QC metrics, drift/batch correction) and reporting. Advance annotation strategies using modern approaches such as spectral/structure fingerprinting, molecular networking, in-silico
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
2026, as a PostDoc in social-ecological systems 70-100% (f/m/d) Within a European network of research regions, you will investigate the social, economic, and ecological impacts of ground-mounted
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
disappearing firn on mountain glaciers. The project also features a broad network of partners in Europe and Central Asia. The aim of this position is to implement improved parameterizations of albedo and
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of the research initiative. In addition, you will have opportunities to develop e large collaborative projects with forest network partners, including members of the ForestPlots network. You hold a PhD in forest
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biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function of complex cellular systems across multiple
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conferences. The postdoc will benefit from ETH Zurich’s strong interdisciplinary and global network, including: The Albert Einstein School of Public Policy, The ETH’s Energy Science Center and ETH's World Food
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
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. The opportunity to work with the world-first imaging device tailored to study drift in riverine ecosystems. Access to an extensive network within the field of Ecohydraulics. Scientific independence, visibility and