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Field
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: we are conducting research on physical one-way functions, reproducible physical processes that generate measurable outputs from input parameters, but for which solving the inverse problem is difficult
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. Your tasks You focus on developing your PhD project In silico optimization of PBF-LB manufactured Mg alloys. There is a plethora of studies on the processing, mechanical and corrosion properties of Mg
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for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe the complex electronic and ionic processes in battery materials. New
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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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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting