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aerosol inlet and a FUSION CIMS to analyze the particle-phase organic composition onboard the Zeppelin from 2027 onward Analyze large multi-dimensional datasets using statistical tools such as positive
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Condensed Matter with focus on resolving the question how material structure and composition control properties and dynamics of electronic states on ultrafast timescales, and how this paves the way for novel
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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 (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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twins and determination of the structural properties of rotor blades to improve the estimation of remaining useful lifetime (RUL) along with other requirements and simulations. Your work will advance
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, microwave power, and frequency) on the degree and structure of carbonization and graphitization of the electrodes, aiming to reduce battery costs through process optimization. Additionally, the effects
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LINK: TBD Research field: Biomaterials / Biomaterials Synthesis / Nanochemistry / New materials: oxides, alloys, composite, organic-inorganic hybrid / Nanoparticles / Pharmaceutical Chemistry
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to facilitate a rapid and efficient exchange among experimental and computational groups and Devise an approach in invertible predictive modelling that links semiconductor properties to the composition of lead