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/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition. For this postdoctoral position, we intend to focus on topological two-dimensional materials, flat bands, and
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Support for international conference travel and networking Stimulating research environment at a leading European university Application / Contact Interested? Submit a single PDF file (named Lastname
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methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research
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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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research network spanning Prof. McDonald's career accross four continents (USA, Switzerland, Australia, UK) An inclusive and supportive team that values diversity Flexible working hours and partial home
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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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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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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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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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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