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metal joining technologies. In Tokamak Energy’s fusion pilot plant design, vanadium (V) alloys, especially V-4Cr-4Ti (V44), is the preferred FW/blanket structural material due to its outstanding thermal
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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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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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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research
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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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the climate system and have all been identified as large scale tipping elements, albeit on very different time scales. While for each of these tipping elements critical thresholds remain matter of active
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, clothing, and skin (and body), including convection, radiation, and conduction in materials. Your profile Completed Master`s degree in mechanical engineering Proven experience in continuum modeling (finite
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 22 hours ago
/ double 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
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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