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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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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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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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to test complex mixtures and identify their risk drivers. The position is allocated to the junior research group and supports research on regulatory concepts for mixture risk assessment. As a long-term goal
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. This 3-year position, part of
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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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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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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