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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Global climate change and pollution are major threats to ecosystem integrity and biodiversity, and
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the project “Operational Copernicus Climate Change Agriculture Service”. It aims to develop a next-generation operational climate service for agriculture that integrates advanced climate data, modelling, and
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the scientific teams at LOCEAN and other IPSL laboratories within the IPSL Climate Modeling Center (https://cmc.ipsl.fr ) enables research and development of a climate model based on the integration of several
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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
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related to climate change and marine biogeochemistry. Expertise in modeling climate variability and extreme weather events, along with their impacts on ecosystems and public health. This position is subject
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vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
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on the numerical modeling results. Physical Oceanography, 27(4), 352–363. https://doi.org/10.22449/1573-160X-2020-4-352-363 Sokolov, A., Chubarenko, B., 2024. Baltic Sea wave climate in 1979–2018: Numerical
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-epidemiology. The recruited research scientist (M/F) will be responsible for: i) Conducting an integrative long-term (climate projections) and short-term (seasonal forecasting) modeling exercise, and ii
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(). Project PAST, “A proxy-model alliance to decode storms in warmer climates”, aims to quantify the occurrence of storms over western Europe during warmer climates. Climate change is known to increase the risk
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Qualifications Minimum Education and Experience Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical modeling