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To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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assessment Development of hybrid quantum–classical algorithms for power system security assessment and operation Integration of quantum algorithms with large-scale HPC simulation frameworks developed at ICE-1
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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S
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of pollution—particularly in the world’s industrialized countries and megacities—lead to health impacts, damage to ecosystems, and crop losses. The Institute of Climate and Energy Systems - Troposphere (ICE-3
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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. Expected results Synthesis and characterization of composite electrodes with increased lifetime with high ICE, specific capacity, and rate capability in half cells and high stability and energy density in
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Systems - Jülich Systems Analysis (ICE-2) is the unbiased, scientific investigation of technologies, technology paths, value chains and market ramp-ups in future energy systems, considering material
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logistics, integrating process mining, geospatial analytics, IoT data fusion, and real-time prediction of logistics performance and carbon emissions. About us The professorship of Information Systems
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. This is precisely where this doctoral thesis comes in. At the Institute of Climate and Energy Systems – Jülich System Analysis (ICE-2), we are researching the systemic prerequisites for a successful energy