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, across different spatiotemporal scales to enable process-level understanding of drought responses of agriculture and nature ecosystems. Furthermore, you will contribute to the development of a Digital Twin
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, responsible for: System definition and modeling: Define the EV battery system architecture and develop high-fidelity multi-physics models suitable for digital twin application. Digital twin development
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of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part
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have not been yet fully exploited for obtaining unifying, multi-parameter models of the subsurface. This project will develop novel ways of characterizing the physical state of the subsurface beneath
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analyses at multiple levels, including the stack, sub-system, and system levels, to determine necessary measures to achieve predefined targets. Throughout this process, you will consider all relevant aspects