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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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of Engineering is seeking to hire a Post Doctoral Associate to conduct research in large-scale flood risk analysis. New York University (NYU) is one of the top private universities in the United States, and the
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support a full-time 1-year (12 month) post-doc position. Project Description: Extensive research exists demonstrating that flooding has increased in frequency in recent decades, fuelling concern that
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to, flood, drought, extreme temperatures, extreme wind, convective storms, cyberattacks, pandemics, and liability risks (e.g., PFAS). Candidates with experience in the insurance and/or financial sectors will
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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systems. The postdoctoral scholar will have flexibility to define their own research agenda, but the ideal candidate will be broadly interested in extreme climate events—such as heat waves, floods
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing
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careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ KEY RESPONSIBILITIES: RESEARCH
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About the Opportunity Job Summary This postdoctoral position offers an opportunity to conduct leading-edge research in implementation of nature-based solutions for flood-risk reduction. This
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement