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supervised inverse modelling and highlights the need for controlled ocean-surface optics simulation facilities. This project introduces a physics-informed inverse modelling framework that decouples multi
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start dates: Modeling PhD – August 2026 | Observational PhD – January 2027 About QUASI QUASI—Stormy Atmospheres over Quiescent Waters: Dynamical Implications of Fine scale Air–Sea Interaction—is an ERC
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characteristics. The insight will be used to assess global deep sea carbon turnover in the past and presently. Experience in lipid biomarker analysis, microbial cultivation, statistical modelling or machine
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. The research group at GEOMAR complements these data and researches the role of fine-scale eddies by using high-resolution models of the ocean and the atmosphere. WHIRLS consists of 4 partners in France, Sweden
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and breakup mechanisms Ice–ocean interaction and basal melting dynamics Integrated observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research
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the environment, specifically offshore wind maintenance modelling. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This PhD research
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datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and application of numerical models Assess uncertainties for future sea-level projections Publish
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a large scale. This research project aims to better understand these cumulative effects in the eastern English Channel and the southern North Sea, where numerous existing, recent and planned wind
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN