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Field
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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of seismo-acoustic wave propagation in 2 coastal environments with different environment properties, by relying on HPC and a full-wave method (spectral-element method) implemented in the SPECFEM3D code
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for atmospheric, oceanic, and coastal processes. Complex environmental systems are characterized by multiple interacting physical processes across a wide range of spatial and temporal scales. The successful
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and Warning Systems Environmental Considerations and Sustainable Development Job description
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for the position of Senior Postdoctoral Researcher to join the Coastal & Marine Science Communication, Stakeholder Engagement & Societal Impact (SCEI) research group within the Coastal & Marine Systems (CMS
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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
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models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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Chile and 2011 Tohoku Earthquake and Tsunami in Japan, which damaged numerous modern engineered buildings, industrial facilities, bridges and large coastal defence infrastructure, resulted in the revision