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to apply for a PhD position within the joint research project “TRANSFER - Training and Research Academy for Nuclear Safety and Future Expertise on Geological Repository Systems”. As part of a structured
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exploit relationships along the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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the composition-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and
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workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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batteries, hydrovoltaic energy harvesting, and advanced catalysis. The focus of this PhD project located at the DESY NanoLab will be the structural and compositional evolution of electrocatalytically active
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the characterization and operation of an NH4+/H3O+ chemical ionization time-of-flight mass spectrometer for measuring volatile organic compounds and organic aerosol composition Investigate photooxidation processes and
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time-of-flight mass spectrometer for measuring volatile organic compounds and organic aerosol composition Investigate photooxidation processes and aerosol formation of representative biogenic VOC (BVOC