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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing
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with the student to develop a project that is a good fit for the student’s experience and interests. You will be part of an active research environment spanning energy and climate modeling and you build
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collaborative international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation involving giant impacts around the Sun
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international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation involving giant impacts around the Sun and other
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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on characterising and maturing Lower and Middle Triassic storage complexes in the Norwegian–Danish to North German basins, developing reservoir–seal models to identify new CCS acreage and helping to resolve potential
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that may threaten the emergence and long-term survival of habitable conditions on orbiting planets. This project places the modelling of cool star high-energy environments at its core, developing a
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environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation involving giant impacts around the Sun and other stars. The project
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theoretical models by extending newly derived theoretical frameworks from the ‘OceanCoupling ’ project and numerically implement the theoretical models. We are looking for candidates who can start as soon as
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to candidates of all nationalities. Our colleague Pedro Duarte wants to hear from potential candidates interested in joining his team to work with coupled physical-biochemical models