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Field
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represents an exciting opportunity to be part of a dynamic research environment at interface of chemistry and biology. The position also includes tasks for scientific qualification (doctorate). If you are
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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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structure on small scales from the micrometer to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as well as in
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
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doctoral students, accommodation services are limited to those with low income. Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes for future
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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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associated fibroblasts towards immunosuppression, and (3) developing computational single cell and spatial transcriptomics pipelines to investigate tumor subtype specific genetic interactions in close