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Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deploy detailed models
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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on research activities already underway in our Materials & Environment section, building up on existing numerical models providing a foundation from which you can build on and contribute your own expertise
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of foundations. You will work closely with academic staff, PhD candidates and project partners. Depending on the needs of the projects and your background, your activities may include: Conducting literature