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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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. EpiSignal aims to increase the molecular understanding of how the complex networks of cell and epigenome signaling systems determine cell responses and phenotypes, during normal cell development and
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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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to adapt 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
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of the Amazon itself will be separated from those of the Caatinga and Cerrado and, to do so, special attention will be given to the larger-scale signals measured at ATTO. By integrating bottom-up Net Biome
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the development of an autonomous outdoor navigation solution as well as the hardware of the robots. Natural outdoor environments like farms and forests are filled with highly complex geometrical forms and
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the aim of taking the complex spatial structure of clouds into account in climate models and global remote sensing. The position thus offers highly relevant and interesting opportunities for work and
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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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society are inextricably linked; they impact one another. Ecological changes effect societal power structures and vice versa. The complex interrelationship between environment and society requires attention
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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