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: 100 % of the full-time weekly hours Tasks: Neuromorphic sensing via 2D-materials-nanoparticle networks Requirements: excellent university degree (Master of Science or diploma) in
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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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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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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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven German Universities of Excellence and provides outstanding working, research, and networking possibilities
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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
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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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. 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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: Investigating the role of NMDA receptor hypofunction in decision-making and behaviour using translational mouse models Performing in vivo multiphoton imaging to study neuronal activity and network dynamics in