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the precursors and optimize the fabrication process. We also seek to combine the electrical, structural, and optical measurements to study the performance of perovskite-based solar cells in operando . - X-ray nano
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circuits, making these techniques particularly promising for early quantum applications. You will investigate techniques for the construction of random unitaries based on random quantum circuits and study
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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English and German Our Offer: We work on highly topical, socially-relevant issues and offer you the opportunity to actively shape change! We offer you optimal conditions for the successful completion
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activity and stability as benchmarks for the evaluation of material libraries. The available PhD position mostly focuses on the following topics: Optimization of a high throughput electrochemical
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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thesis is the implementation of these technologies in an integrated energy system model that represents all sectors of the energy system with a high degree of technological detail. This optimization model
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you during your PhD journey by providing an individualised training programme, networking opportunities, and funding schemes. Located in a vibrant research environment, HGS MathComp provides structured
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Development, and Learning from Early Childhood to Adulthood Educational and Social Inequality Across the Entire Life Course Changes in Human Capital, Labour Markets, and Demographic Structures and Their Impact