25 polymer-material-simulation-research PhD positions at Forschungszentrum Jülich in Germany
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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comprise the following: Modeling cathode materials with various compositions Performing ab initio-based calculations (e.g., DFT and AIMD) on supercomputers Simulation the influence of substitution and/or
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optimized particle morphology Production of model cells based on various solid electrolytes (polymer, ceramic, hybrid) and their electrochemical characterization Optimization of the materials to achieve
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Your Job: In a project with a leading German aircraft turbine manufacturer, the Institute of Energy and Climate Research - Materials Microstructure and Properties (IEK-2), investigates deposit
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materials for the electrodes with industrial relevance and high-performance cells are to be demonstrated. The work is part of a Franco-German project on high-performance batteries and also includes a research
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of graphene oxide) with nanoscale active materials. For this reason, known materials for negative and positive electrodes based on graphene oxide are to be researched and optimized for combination with liquid
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of research will include among others: Modelling and analysis of power grids Develop/Extent a realistic German transmissions system grid model Develop GPU-executable, data-lean grid simulation (load flow) to be
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this interaction of energy networks (electricity, gas, heat) and markets at high resolution. Your areas of research will include among others: Modelling and analysis of power grids at all scales (distribution
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research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and utilize frameworks like Django to support the automation
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devices Simulations of transient photoluminescence and generation of training data Training of neural networks using the numerical simulations Calculating the likelihood of material parameters correctly