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Field
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The Fraunhofer Institute for Manufacturing Technology and Advanced Materials (IFAM) is one of Europe's most important, independent research institutes in the fields of ‘Shaping and Functional
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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Models for Real-World Healthcare (MLCARE project DC3). The position is funded by the MSCA Doctoral Network MLCARE (Machine Learning Computational Advancements for personalized mEdicine). The MLCARE
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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Phenorob, we develop novel agrogeophysical methods to obtain noninvasive subsoil information that can be used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial
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), ensuring strong translational and preclinical relevance. Advanced in vitro biofilm models that mimic physiological conditions will be used to quantify biomass, analyse gene expression, and characterize
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as