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30.10.2025, Wissenschaftliches Personal Data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process
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performed on site in Berlin for optimal collaboration with colleagues Interest in robotics and explainable artificial intelligence (XAI), for example: Robot learning, including reinforcement learning
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tensor network methods) and optimal transport, and we intend to appoint one doctoral candidate in each area. Successful applicants will hold or are about to complete a Masters in mathematics, and will have
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drive iterative optimization of RNA switch designs toward therapeutic translation. What you bring: You hold a PhD in molecular biology, biochemistry, or a related field and have strong hands-on experience
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7-X (short W7-X), the world’s largest superconducting stellarator and a flagship facility for optimized stellarator physics. W7-X enables stable, high-performance plasma operation – critical
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optimization, and technological applications. Research in the field of neuro-inflammation would be desirable. The applicants should strengthen this focus by incorporating existing research networks
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validate it with experimental data Integrate your model into an ammonia synthesis process Identify optimal operating conditions by conducting sensitivity analyses and evaluate the performance of the overall
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of organisms, and to use mechanistic insights to optimize the management and conservation of freshwater ecosystems. Your tasks Develop and lead an independent research group that tests ecological concepts
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include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze