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on research data generated in a previous project, and adapting these for large-scale implementation. The work involves optimization of electrolyte formulations, preparation and testing of prototype battery
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processing. This will involve adapting existing simulation software to test and develop new algorithms and to investigate how to incorporate multi-messenger data into the LISA processing. Experience and a
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-XEOL. With these insights you will try to unravel synthesis pathways and rationalize processing windows in a larger parameter space. Your insight for optimization will be fed back to the process
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researchers from Concrete Structures and Geotechnics. The research activities aim to bridge fundamental understanding and advanced modelling & testing capabilities with application in engineering practice. We
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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-of-the-art chemical ionization mass spectrometry techniques. Drones equipped with advanced sensors will collect particles during live fire tests to analyze their chemical composition. This data, combined with
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will work on developing global fit algorithms for use in the LISA data processing. This will involve adapting existing simulation software to test and develop new algorithms and to investigate how
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to systematically examine digital efforts to redirect, reorganize and reduce consumption. The focus is on the consumption of food and mobility services. These areas are of interest both because they are linked
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models and the dissemination of results through publications and presentations. (Depending on your interests) Conduct experimental tests (in-person or online) to evaluate the assumptions and predictions
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through digital technology. The project is based on practice theory and uses several methods to systematically examine digital efforts to redirect, reorganize and reduce consumption. The focus is on