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Field
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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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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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extension of ZMT entitled ‘Modelling socio-economic dimensions across Tropical Coastal Ecosystems and the Earth System – TropEcS’ aims to link the existing research capacities of ZMT in the fields
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. The project is part of a new institute initiative called TropEcS "Modelling socio-economic dimensions across Tropical Coastal Ecosystems and the Earth System", which attempts to investigate how socio-economic
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to coastal sea level variability and relevant physical processes (e.g. ocean warming and mass redistribution); 2) conducting sensitivity analyses to identify the roles played by model forcing, horizontal
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
Responsibilities: Conduct a literature review and data collection related to coastal oceanography, nutrients, pollutants, and HAB dynamics. Conduct data analysis and predictive models on the occurrence of nutrients
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: 6636704 Postdoctoral Scholar in Remote Sensing of Inland and Coastal Water Quality University of California Merced Position overview Position title: Postdoctoral Scholar Salary range: See Table 23
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collaborations with researchers across DOE laboratories, academic institutions, and partner agencies to expand the applications of AI-driven coastal wetland modeling to broader environmental challenges. Safety and
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formulations as complementary model systems. Integrate experimental work with spin-diffusion modeling and other complementary techniques. Collaborate actively with AstraZeneca (model systems and analytical input
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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