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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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at TV-L E13 2/3). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas: natural resources and environment, climate change and policy
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housing system on the welfare of laboratory animals and to compare it with the current standard housing conditions. Indicators of well-being include both the behaviour of the animals and physiological
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& Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and opinion dynamics. Our goal is to gain a deeper understanding of
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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utilization. We conduct research in the field of sustainable bioeconomy, focusing on the development of innovative microbial production systems based on renewable raw materials. Our goal is to establish new bio
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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to independently conduct research and to work in interdisciplinary collaborations excellent written and verbal communication skills in the English language We offer: cutting-edge research and training in the field
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education strong motivation to independently conduct research and to work in interdisciplinary collaborations excellent written and verbal communication skills in the English language We offer: cutting-edge
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dynamics, data science, and machine learning are beneficial. Please submit your detailed application with the usual documents by August 15, 2025 (stamped arrival date of the university central mail