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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 20 days ago
inverse modelling in geosciences. (https://www.ipsl.fr/ ) Task description for your Individual Research Project (IRP) Problem Definition: In order to account for the chemistry occurring in the rocket plume
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a permanent position. Thematic track The UFZ advances planetary solutions to climate change, biodiversity loss and pollution through integrative, cross‑disciplinary research. Within the Helmholtz
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concepts, design scenarios, and architectural visions for coastal areas, marinas, and yacht-cluster infrastructures. Produce design frameworks integrating: Green marina models Eco-resorts and luxury tourism
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related to staff position within a Research Infrastructure? No Offer Description About the Role We are seeking to recruit a Research Fellow in AI for Climate Modelling to become a member of the School
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natural and human disturbances through climate-smart forestry startegies, based on observations and predictive models. Where to apply Website https://unimol.concorsismart.it/ Requirements Additional
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | about 11 hours ago
27 Jan 2026 Job Information Organisation/Company Université Paris-Saclay GS Géosciences, climat, environnement et planètes Research Field Technology Researcher Profile Recognised Researcher (R2
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awareness-raising and the promotion of data, code and models. This initiative, launched in 2023 as part of the UCLR project, aims to: Promote the data, models and digital tools produced by the various
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural