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Field
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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, bolster resilience against cyber threats, and support the deployment of secure, scalable, and efficient distributed systems. International elements Projects with partners in Germany and abroad Course
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 14 hours ago
degree programme No Description/content The International Max Planck Research School links the Max Planck Institute of Microstructure Physics with the Martin Luther University Halle-Wittenberg and the
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their microstructure and local electronic properties with sub-molecular precision, the project aims to establish direct structure–function correlations and uncover the mechanisms that govern stability and charge
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Institute of Microstructure Physics Halle (MPI-MSP ), Nanoelectronic Materials Laboratory gGmbH (NaMLab ) in Dresden, Ruhr-Universität Bochum (RUB ). For the initial funding phase (April 2025 – December 2028
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greater stress. The understanding of the relation between the material microstructure – grain structure, grain orientations, defects – and the in-service performance of the wheel is limited at present
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data