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The University of Copenhagen is seeking an experienced Postdoc fellow to commence on 1 March 2026, or after agreement, for the Sakamoto Group at the Novo Nordisk Foundation Center for Basic
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in inHealth-Aware Optimization of Lithium-Ion Battery Charging is available from 1stof March 2026 (or as soon as possible
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particular emphasis on automated decision-making in autonomous cyber-physical systems. The application areas cover a wide spectrum of autonomous systems, including AGVs/UGVs, UAVs, USVs, and related systems
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Novel AI based perception
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of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting
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Postdoc position to support international research and capacity-building projects employing elect...
is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants
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to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
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that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance