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the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting both
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monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration between research groups across several European countries and
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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covalent and non-covalent inhibitors and will implement early monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration
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, detecting pesticides and pathogens in agricultural production. In this part of the research, the goal is to optimize local CNT growth conditions at low temperature using different catalyst materials, while
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work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD
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. Material Optimization: Use optimization algorithms to design FGMs that meet demanding performance criteria like fatigue resistance and durability. Systems Integration: Apply a systems engineering approach to
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are expected to be the CO2 capture technology for early large-scale deployment. A detailed understanding of the CO2 capture solvent is therefore necessary to ensure development and application of an optimal
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to optimize performance and safety. Integration of Human Factors in Autonomous Systems: Examining how human capabilities and limitations impact autonomous system design and operation. This can include research
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and