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Field
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together with the new numerical model to compare cooling rates in the various available sections of oceanic crust. These, together with new data from natural samples from selected areas, will be used
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
. Opportunities may also exist to participate in planned field campaigns in Greenland. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory
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methods to enhance the understanding of the Greenland Ice Sheet, peripheral glaciers, and their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model
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staff position within a Research Infrastructure? No Offer Description The fellow will perform dynamic downscaling for warm climates of the past to provide a long-term climate perspective on ocean
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Host Institution: Oceanographic Institute (IO) – University of São Paulo (USP), São Paulo state, Brazil Abstract: Marine heatwaves (MHWs), defined as prolonged periods of extreme warm sea surface
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responsibility. Through project collaborators, the candidate will have the opportunity to develop a broader international network around ocean observations, modelling, climate variability and dynamics. Salary and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 20 days ago
Functional Wadden Sea Biodiversity Analysis (d/f/m) Background The Wadden Sea, a UNESCO World Heritage Site recognised for its remarkable natural value, has undergone a major reorganisation of its biodiversity
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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, supply chain resilience, and lifecycle sustainability. The successful candidate will lead and conduct independent research in optimization, systems modeling, agent-based modeling (ABM), and network