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                research and scientific exchange. To that end, we closely interact with experimental laboratories. You will: Develop, simulate, and analyze biophysical models of infection spreading and the inflammatory 
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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 
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                complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich 
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                selectivity mechanisms in potassium channels Simulation of electrophysiology experiments Please indicate in your application which of the above listed projects is most intriguing for you. Your profile 
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                -bayreuth.de Dr. Gerd Steinle-Neumann . Atomistic simulations on physical properties of planetary materials with the goal of improving our understanding of the state and evolution of planetary interiors. Email 
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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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                at the nanometer scale. We will use available DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction 
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                approaches but also to practically test them directly on real test vehicles – from first simulation to real-world driving. An innovative working environment with modern laboratories and simulation environments 
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                evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes 
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                atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in