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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
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to climate change. It builds up a national and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change
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of molecular and biological materials using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, and complex nano-structured materials. For more information, visit
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student (m/f/d) to conduct research on a DFG-funded project focused on trace fossils, and the evolution of behavioral complexity over the Ediacaran-Cambrian boundary. This project will combine detailed
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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, complex nanostructured materials, and proteins in solutions and at interfaces, mostly studied by X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based
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to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
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such as the phenome, genome and exposome, including continuously measured health data such as heartbeat or activity measurements of wearables, will increase. The processing and analysis of such complex data
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well as the complex "battery cell" system require a broad portfolio of methods and proven experts for local and global material analysis in order to characterise different interfaces and interphases and investigate