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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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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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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
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, data collection, and data analysis as outlined in the research plan and collaborate with others. Collaborate with biostatisticians or data analysts, if required, to interpret and analyze complex data
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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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, 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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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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circuit design methodologies and signal integrity analysis Deep understanding of programming languages (Python, C/C++), algorithms, and problem-solving in a dynamic tech landscape Hands-on experience in AI