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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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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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-acting sensing of supply and demand, facilitate optimal operation of transport services, and advances learning and evolution in complex environments. The project focuses on six thematic mobility management
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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collaboration with leading Danish and European companies as well as international academic partners, ensuring a highly synergetic environment. The AI4OR group addresses complex real-world problems that demand
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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
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12 Nov 2025 Job Information Organisation/Company University of Copenhagen Department Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) Research Field Computer science Biological
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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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such as: Acoustic sensing and signal processing in complex environments AI-driven perception and scene inference from ultrasonic echoes Autonomous navigation in GPS-denied / degraded environments