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particular in terms of seismic risks and underwater noise pollution, by relying on numerical modeling of seismo-acoustic wave propagation generated by underwater explosions and on seismic and acoustic data
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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to open-source releases Your profile - PhD in Meteorology, Physics, Computer Science, Environmental Sciences, or a related field - Experience with atmospheric models and geostatistical interpolation methods
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. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions or removals from vegetated wetlands, coastal systems, and inland
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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trail stages throughout European coastal waters; however, scientific research is lacking with respect to assessing the biological and ecological impacts of these mCDR approaches. This EU-funded project is
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of sea surface height (SSH) from satellite altimetry with high resolution data from a new satellite mission (SWOT), tide gauge data and machine learning approaches to reconstruct the 3-D coastal SSH
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes a transdisciplinary, entrepreneurship spirit and collaboration
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rock weathering or via alkaline fluids), respectively. Both methods are beginning early pilot trail stages throughout European coastal waters; however, scientific research is lacking with respect