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Posting Details Position Details Title Postdoctoral Research Scholar - Climate Change Impacts Appointment Status Non-Tenure Track Department IU Bloomington Public & Environmental Affairs Location
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and improve model performance in simulations of tropical weather and climate), evaluation of simulation results (e.g., TC, MJO, and precipitation patterns, land-atmospheric interactions), analysis
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, United States of America [map ] Subject Areas: Climate Change Environmental Studies / Natural Resources Science and Management Starting Date: 2026/08/01 Appl Deadline: 2026/05/01 04:59 AM* (posted 2025/10/15 05:00 AM
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of observed meteorological elements at all spatial scales. ICV also constitutes an important source of uncertainty in climate model outputs, especially regarding the occurrence of climatic extremes. Furthermore
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science, environmental engineering, and public health to tackle the region’s most pressing climate–health challenges through cutting-edge research, advanced modelling, and interdisciplinary collaboration
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 11 days ago
system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative
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Associate Dean for Research, Outreach, and External Relations. More information about the ILR School can be obtained at our web site, https://www.ilr.cornell.edu and the Climate Jobs Institute at https
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/phd-research-fellowship-in-volcano-climate-modelling Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294729/phd-research-fellowship-i… Requirements Research FieldGeosciences
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frameworks for the assessment of existing infrastructure under climate impact - Integrate time-dependent deterioration models with climate projections - Update models using monitoring and inspection data
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data