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damage are responsible for many of the mutations that cause cancer and treatment resistance. But their dynamics, the molecular machinery involved, and their role in disease are still poorly understood
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thriving international research community CURRICULUM AND TRAINING IMPRS-ML offers high-level scientific training in a dynamic and international research environment with state-of-the-art facilities
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). TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that is characterized
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to study the dynamics of neuronal development, synaptogenesis, neuronal degeneration, and regeneration. Our research is complemented by behavioral studies that explore the role of olfactory cues under
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 4 hours ago
The Department of Process Systems Engineering (Director: Prof. Dr.-Ing. Kai Sundmacher) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting applications for the PhD
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the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree: A dynamic, interdisciplinary research environment at the forefront of materials
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your doctoral degree: A dynamic, interdisciplinary research environment at the forefront of materials informatics Comprehensive training courses and individual opportunities for personal and professional
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. Furthermore, we use the olfactory network as a model to study the dynamics of neuronal development, synaptogenesis, neuronal degeneration, and regeneration. Our research is complemented by behavioral studies
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at demonstrating how teacher learning can be made robust in an event-based framework, that is, when both the teacher model and the learning rules are event- based. The combination of excitable teacher dynamics and