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interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine learning results with simulation methods Working on project-related tasks where you can
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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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computing applications to build more energy-efficient technologies. Depending on the project area and your scientific skills, tasks will include: Invent, simulate, and prototype more efficient, specialized
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and your scientific skills, tasks will include: Invent, simulate, and prototype more efficient, specialized non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and
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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
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growth and performance. Simulation modelling will be used for an in-depth mechanistic analysis of pre-crop effects and to extrapolate pivotal research findings depicted within the models for future climate
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. The RhizoWheat project will investigate the effect of different pre-crops in crop rotations on wheat growth and performance. Simulation modelling will be used for an in-depth mechanistic analysis of pre-crop
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of an innovative shim insert necessitates a blend of robust engineering skills and advanced simulation methodologies spanning various physical domains. To meet this challenge, ZEA-1 and INM-4 will integrate
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Infrastructure? No Offer Description Work group: IEK-13 - Modellierung und Simulation von Werkstoffen in der Energietechnik Area of research: Promotion Job description: Your Job: Nanoporous materials are key
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: Promotion Job description: Your Job: You will join the Simulation and Data Lab `AI and Machine Learning