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This PostDoc project focusses on extending an existing digital twin platform called DTaaS with better support for collaboration between different legal entities in a secure manner. Digital twins
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strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
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Research Infrastructure? No Offer Description Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH
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Postdoc Position in AI Foundation Models for Crop Microbiomes Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application
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Are you interested in advancing our understanding of fracture and damage tolerance in fibre reinforced polymer composites, and in contributing to the development of new modelling approaches
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
and diagnostics, translating process-level understanding into parameterizations for realistic Antarctic ice shelves, and investigating the strengths and limitations of different modeling systems
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consequently more heat flux from the relatively warm, deep Arctic to the vulnerable surface sea ice. Climate models do not currently represent these processes, which are dynamically different from those
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal