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Climate Research Centre (SBiK-F), starting as soon as possible: Postdoc in vegetation and ecosystem modelling (m/f/d) (Full time / part time options available) Location: Frankfurt am Main Employment scope
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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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manner. We are also open to discussing flexible working arrangements. Are you an ambitious atmospheric modeller ready to improve the representation of ice nucleation in weather and climate models? Do you
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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and may be directed to: Prof Michael Wallace - michael.wallace@ucd.ie Information on the Climate Co-Centre is available at: https://climatecocentre.org/ Application Procedure Applicants should complete
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) and a global ocean model (NEMO). The selected candidate will contribute to the ANR-AIAI project (https://anr-aiai.github.io ). Scientific Context The melting of Antarctic ice shelves by the ocean is a
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of Bryan Black, the project will be conducted in collaboration with paleoclimatologists and climate modelers at the University of Arizona and Iowa State University. Outstanding U of A benefits include health
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | 11 days ago
models) will help to disentangle the various risk and resilience factors of lagoons in the face of climate change. To address the challenges posed by the complex functioning of lagoons
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aforementioned data set; (b) devising groundbreaking theoretical models of societal response to climate change; (c) testing the project predictions and designing methodologies able to tackle endogeneity issues