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The Pagel group at the Institute of Chemistry and Biochemistry of the Freie Universität Berlin is a dynamic, motivated, interdisciplinary and internationally strongly networked research group and is
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with
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complex device preparation (e.g., de-lidding or thinning), the capability to irradiate whole systems at once, as well as improvements to the efficiency of space relevant radiobiological experiments. GSI
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physical oceanography. With a focus on the open ocean, the professorship aims to develop a profound understanding of the complex physical processes in the oceans and their impact on the marine environment
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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strategies individually and in cooperative work Self-assured and determined manner with good communication skills for a convincing presentation, even in complex technical contexts Strong and open communication
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control of decentralized, local energy systems for network integration. One of our main research interests is cross-sector applications with hydrogen systems. On the control side, our current research