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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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intelligence experts to generate new projections 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
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The department Ecosystem Modeling identifies key mechanisms of the human-driven transformation of marine ecosystems (www.hereon.de/ecomod). Within the collaborative JPI-Ocean research project “Impacts
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory experiments (in the Joint Fluids Lab at UNC), analyze results, publish in peer-reviewed journals
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Area of research: Scientific / postdoctoral posts Job description: Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean" (d/m/f) (HIPP26 #3) Background
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
oceanographers, mathematicians, and software engineers to develop, validate, and use the ocean component of the new climate model, which leverages the Julia programming language to make it flexible, easy to use
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positions) Advancing the SINTEX-F and CFES models for improved seasonal prediction performance. Topic 4: Development of ocean current / wave models (one–two positions) Enhancing the accuracy and reliability
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. The three modeling frameworks are the Salish Sea Model of oceanography and biogeochemistry, the VELMA model of watershed hydrology and biogeochemistry, and the Atlantis model for Puget Sound food webs