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to investigate the parameters that control the triggering, speed and geometry of magmatic intrusion events at mid-ocean ridges, using dynamical models constrained with seismo-geodetic observations
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Job posting (PHY 06/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.01.2026 for a Postdoctoral position in regional ocean climate modeling in
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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) invites applications for a Postdoctoral Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group
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Full-time: 35 hours per week Fixed-term: 27 months The Opportunity: We seek a postdoctoral research associate (PDRA) to join an interdisciplinary team investigating how ocean acidification will lead
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the land-ocean continuum; Reactive transport modelling of surface water and groundwater systems to quantify land–ocean fluxes and biogeochemical transformations; Impacts of land-derived fluxes on the health
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global
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population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation coastal zones (LECZ) in Ireland. In so doing, insight will be