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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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. Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific institutions
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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dynamic research environment with a broad range of state-of-the-art technologies from various departments, with excellent opportunities for networking and collaborations. RESPONSIBILITIES: Culture
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genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects
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The EpiSignal RTG (www.grk3112.uni-stuttgart.de/ ) funded by the Deutsche Forschungsgemeinschaft (DFG) studies the crosstalk of intracellular signaling pathways and chromatin modification networks
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of Neurophysiology). We are interested in the cellular and network mechanisms responsible for the generation of spike and wave discharges, the electrophysiological hallmark of absence epilepsy. The project is aimed