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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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the analysis and optimization of machine components and component systems based on performance, service life, energy efficiency, reliability, and environmental impact. Particular emphasis is placed on issues in
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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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manufacturing of advanced battery-active materials for sustainable energy storage. The research targets the development and optimization of synthesis routes, surface and interface engineering, and understanding