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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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will apply statistical methods for the combined analysis of the obtained data with the aim to retrieve information about both local coordination and chemical composition in these materials
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at varying PBF-LB fabrication process parameters (at Uppsala University), collect experimental data on microstructure, mechanical and corrosion properties; ii) determine, using sensitivity analysis, impact of
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research area is the design and analysis of graph algorithms, with possible focus areas including parameterized algorithms, structural graph theory, graph symmetries and similarities, and algorithmic model
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the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main research area is the design and analysis
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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hybridization, in–vivo electrophysiology data analysis with mice and is tightly linked to independent subprojects involving in-vivo electrophysiology in humans and high-resolution fMRI in awake rats
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trainings. We also operate the GESIS Secure Data Center, our Trusted Research Environment responsible for providing access to sensitive research data in the social sciences. The Secure Data Center is leading
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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epidemiology. This collaborative environment fosters innovation and skill development, providing hands-on training in organoid culture, pollutant exposure methods, and data analysis. Additionally, through a