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for accelerating characterisation and “state of health” monitoring. Testing of solid oxide cells under different operation conditions and microstructural characterisation after tests to identify degradation
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on their suitability during reconnaissance field work. The research will involve a combination of several potential methods, including detailed field work, petrography and microstructural characterization, scanning
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to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying to this role, you will be
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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activities Self-motivated and quick to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying
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and defects, with unprecedented detail. Through this work, you will uncover the fundamental links between synthesis conditions, microstructure, and macroscopic properties of layered materials. Your
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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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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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( FZJ ), Max Planck Institute of Microstructure Physics Halle ( MPI-MSP ), Nanoelectronic Materials Laboratory gGmbH ( NaMLab ) in Dresden, Ruhr-Universität Bochum ( RUB ). For the initial funding
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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