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Field
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and fossil diatom datasets from Alaska-Aleutian coastal marshes and statistical and chronological models that allow reconstruction of the magnitude and timing of past relative sea-level (land level
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the present will create the required and desired resilient and dynamic multifunctional coastal landscapes of the future. SOURCE will deliver the scientific knowledge, models and design tools to develop and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
understanding of land cover/ land use controls on inland aquatic and marine environment conditions * Constrain modeled outputs of water quality conditions in marine environments with in situ and remote sensing
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), seeks a postdoctoral or more senior research scientist to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual
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on the effects of climate change in coastal areas and aims to improve knowledge of its hazards, as well as to support risk management and promote the development of adaptation strategies. Main activities
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) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Geotechnical Challenges, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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. Responsibilities include expanding the capabilities of current ocean model applications, with emphasis on hydrodynamics, coastal flooding, biogeochemical simulations, and the dispersion of coastal pollutants and
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riverine and coastal environments, in connection with the SCHISM and NEMO-PISCES models developed at LEGOS. **Biological and Trophic Transfer Component** Investigation of PFAS bioaccumulation and
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numerical models. Key investigation areas are the Northern Sea, the Baltic Sea, and the Mediterranean coastal regions. Active participation in the activities of the subcluster (SC) “ROOTS of Socio
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from a multi-layer perspective, focusing on SDN-controlled networks and vulnerabilities in virtualized scenarios. The work involves developing multi-layer risk models, creating risk mitigation tools