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                . Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and 
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                Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular 
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                to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in 
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                posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational 
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                management (RDM) system. The goal is to create an overarching data space for the RTG that integrates various experimental techniques and simulation methods. This includes concepts for ensuring data quality 
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                simulation. Description of the PhD topic (subproject B7 - New methods for multimodal microscopic simulation of street users’ behavior in shared space contexts): This PhD project will develop and implement 
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                for the simulation of non-adiabatic exciton transfer dynamics in light-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and 
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                opportunities within ScaDS.AI. Tasks: foundational and applied research in LLMs for traffic engineering, with particular focus on mobility knowledge benchmarking, simulation of human mobility behavior, simulation 
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                the official DAAD template [doc-Datei] and ask your professors to email the confidential document to the GSPoL (admissions.gspol at uni-muenster.de ). Step 2: personal interview at the GSPoL Step 3 
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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