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pollution and its impacts. In the OSEAMS project, the postdoctoral researcher will mainly work with zero-dimensional box models, using historical atmospheric observation data to analyze the drivers of ozone
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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missionisation strategy, process and tool for use in future reusable launchers Expected Results: A validated suite of low-fidelity models for emissions estimation in the context of atmospheric re-entry Definition
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Dispersion – Inverse Model (EURAD-IM). The PhD project will be conducted in the atmospheric modeling group of the Institute of Climate and Energy Systems (ICE-3) at Forschungszentrum Jülich and the
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Determine the conditions for wrinkle formation during the drying of polymer solutions and
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative
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(CO₂) emitted into the atmosphere. Quantifying the oceanic carbon sink and its future variability strongly depends on how the processes controlling air–sea CO₂ exchanges are represented in models
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our website: https://www.list.lu/ How will you contribute? This is a PhD project to investigate the role of evaporation during small rainfall events on forest function. Low-volume water pathways in