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Your Job This PhD position focuses on scenario development, as well as the modelling, simulation and analysis of coupled power and gas grids in Europe. The research project aims to develop advanced
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the information obtained into specifications that can be used by a natural language processing-based analysis tool. The analysis tool is being developed in collaboration with interdisciplinary
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designing and evaluating machine learning models for benchmark grids and, depending on data readiness and project progress, by testing them on a real campus network with high-quality consumption and
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defects Analysis and interpretation of experimental data Documentation and publication of results in reports, scientific manuscripts, and conference presentations in English Collaboration with and co
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, semiconductor processing, or photovoltaic devices; experience with perovskite cells, optoelectronic characterization, glovebox work, or cleanroom processing is an advantage Interest in data analysis
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cycle assessment (pLCA) and a techno-economic analysis, you will evaluate the planned data center. The innovative technological concept for optimizing computing power integrates both batteries and the use
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parameters, are inevitable. Specifically, the improvement of emission inventory data by data assimilation applications has demonstrated strong positive impact on the analysis’ performance. However
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samples suitable for electron, X-ray and neutron studies. Perform preliminary characterization using scanning electron microscopy, powder X-ray diffraction and elemental analysis. Diffraction data
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project will be highly collaborative and will connect expertise in plant physiology, root biology, phenotyping, sensing, imaging, data analysis and plant modelling within IBG-2 and the interdisciplinary
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areas: artificial intelligence and machine learning; statistical learning or applied mathematics; multimodal and longitudinal data analysis; computational biology, bioinformatics or digital health