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Electrodynamics General Circulation Model (TIE-GCM) is a global 3D numerical model that simulates the coupled ionosphere-thermosphere system from ∼97 to ∼600 km height. It self-consistently solves the fully coupled
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harmonized multi-model datasets of high-resolution decadal and multi-decadal scenario simulations for the three European target seas, and (ii) demonstrators of climate services at European Sea basin, coastal
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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-layer and cloud processes in the air-mass transformations that follow moist intrusion events into the Arctic. Using large-eddy simulation models, you will set up and run case studies of observed air-mass
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes