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manufacturing and optimization of advanced PTL/MPL architectures, with the goal of improving efficiency, durability, and reducing precious-metal requirements. This is a unique opportunity to combine modeling
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, including EEG. You will design and optimize experimental tasks, collect and analyze behavioral and neural data, and adapt computational models to capture variability between individuals. What you will be
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affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from
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, the project will enable the evaluation and optimization of resilience strate-gies. The framework will be validated through pilot studies, ensuring its applicability to real-world industrial chal-lenges
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structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification. Information and application
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decisions. The challenge then is how to optimally leverage such an asset to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self
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methods. They will be responsible for characterizing the mechanisms of novel bioactive compounds and the medicinal chemistry optimization of these molecules. The candidate will be trained in a variety of
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engineering and biotechnology. A PhD position is available in the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
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contributes to improving large-scale plasma simulations that are essential for the design and optimization of nuclear fusion devices, a key step toward future sustainable energy technologies. You will conduct