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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
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someone with experience in research on ocean-atmosphere interactions, through conducting observational, modeling, or experimental studies, to complement our existing strength in climate-related research
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- Physics of the earth system, planets, space and climate Where to apply Website https://www.ogs.it/it/concorsi/bando-362025-selezione-pubblica-titoli-e-colloqu… Requirements Research FieldEnvironmental
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for conducting research on climate variability assessment and hydrological modeling at the catchment scale. The selected candidate will engage in cutting-edge research that bridges the disciplines of climate
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. The Department of Biology in the Faculty of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of Role of mangrove ecosystems for nature-based coastal climate adaptation Position
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 7 days ago
"Sustaining the keystone: Rethinking Antarctic krill fishery management under climate change" (f/d/m/x) Background Antarctic krill (Euphausia superba) is a keystone species in the Southern Ocean ecosystem
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complementary perspectives. 2 Tenure-Track Group Leader Positions in the Climate Solutions Hub (80–100%) Position 1: Modelling Implementation Potentials & Scaling Trajectories You will be responsible
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observations of ice initiation from solid aerosol material, informing the design of microphysical schemes of models of clouds and climate at Lund. A new climate model is being developed to represent cloud
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, autonomy, and ability to work effectively in a team. - Strong motivation to contribute to the development of next-generation climate models. Website for additional job details https://emploi.cnrs.fr/Offres
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative