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an understanding of the underlying magnetic processes through complex data analysis and computer simulations. You work in close collaboration with theoretical physicists to test models and develop new insights. Your
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high-efficiency perovskite solar cells and layer stacks Developing highly stable and efficient triple-junction solar cells Characterizing devices, analyzing experimental losses, and simulating single
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integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good communication skills in English, both spoken and written. PGI-15
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discipline boundaries and abstraction levels Knowledge in integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy