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technologies for batteries. Your tasks in detail: Develop innovative quantum computing approaches for the simulation of electrochemical processes in complex electrode materials Connect quantum-enabled models
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generation of seismicity and hazard models that integrate statistical and physics-based representations of earthquake occurrence. These models will account for spatio-temporal variability in seismicity rates
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organize soft and fluid-like material. They currently focus on the organization principles of liquid droplets in biological cells, but they are also interested in broader questions in biological physics
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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addition, our company medical service and an experienced social counseling team are available to assist you on site FLEXIBILITY: Flexible working time models, including options close to full-time ( https
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide
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position within a Research Infrastructure? No Offer Description Work group: IAS-2 - Theorie der Weichen Materie und Biophysik Area of research: Scientific / postdoctoral posts Job description: Your Job
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position within a Research Infrastructure? No Offer Description Work group: IAS-2 - Theorie der Weichen Materie und Biophysik Area of research: Scientific / postdoctoral posts Job description: Your Job
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM