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Field
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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
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and/or experience: Ph.D. in a field related to hydrogeology, hydrology, or environmental modeling Required skills, knowledge, and experience: Modeling of karst hydrosystems Field methods for studying
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» Public policy Environmental science » Natural resources management Geography » Human geography Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 10 Aug 2026
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February 2028). It is a unique opportunity to combine hands-on community organising and network facilitation with rigorous, publishable research on social innovation and environmental governance in a truly
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14 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Medical sciences » Other Researcher Profile Recognised
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position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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the Biological, Environmental and Planetary Science Division. Advance the frontiers of structural biology by developing AI-driven methods for interpreting complex crystallographic data. This role will enable new
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the uptake of fatty acids by living 3T3-L1 model cells and detection of nano- and microplastics in municipal wastewater samples. The overarching goal for this project is to advance the field of chemical
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Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago
for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial information, applying hydrological models to simulate extreme floods
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods