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Field
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Argonne National Laboratory seeks a postdoctoral researcher to help build a high-resolution coastal-urban flooding modeling capability within the Energy Exascale Earth System Model (E3SM
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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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Aalborg University. Your work tasks Climate changes impact significantly the risk of coastal hazards in coastal areas. Correct assessment of the risk and proper climate adaptation planning requires better
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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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), 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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- and polyfluoroalkyl substances (PFAS) in large tropical river systems (the Red and Amazon rivers) and their associated coastal areas. He/she will participate in the development of innovative analytical
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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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) 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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, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers