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The Department of Geosciences and Natural Resource Management invites applications for a 3-year full time postdoctoral position on the development and application of models, to simulate
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 1 day ago
, and more specifically to bridge model-driven and observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models. For accurate climatic
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CNRS. The supervisory environment will bring together expertise in the humanities and social sciences, anthropology, climate modelling and computer science, with Patricia Cadule, Philippe Hunel and
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understanding how climate change weakens snow and ice. Combining analytical, numerical, and experimental methods, the project will improve predictions of material failure and avalanche risk, contributing to more
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Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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Infrastructure? No Offer Description Join TU Delft to model the future ocean. Work on Digital Ocean Twins and climate scenarios shaping marine energy and coastal resilience across Europe. Job description Climate
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modeling of climate connectivity, wildlife corridors, and species on the move, especially for socially and economically important species Iterative near-term forecasting of terrestrial and/or aquatic
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models and climate assessments. Interest in climate science, environmental research, or a related field. Special Instructions to Applicants Budget Information Is Federal work-study required? With
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include (but are not limited to) developing/applying new approaches to improve range shift projections under climate change, regionally modelling organism-environment interactions across species ranges