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At IET-1, we are studying the electrolysis of CO2 for the sustainable conversion of green energy into chemical energy carriers in order to defossilize the chemical industry. The process control and
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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FDSOI devices for neuromorphic computing applications Develop and optimize semiconductor fabrication processes in a state-of-the-art cleanroom environment Perform electrical characterization and analyze
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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, interdisciplinary research environment at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration. Access to state-of-the-art live-cell imaging
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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simulation, fabrication, systematic characterization, high fidelity operation as well as integration and scaling technologies. Our ultimate vision is a fully integrated semiconductor processor with integrated
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with quantum computer hardware developers, we investigate the applicability of quantum computers towards real-world applications in a hardware-software co-design paradigm. Your Job Within an
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subsequent PhD degree in Physics (or a similar field of study) Experience with NMR, polarized neutron instrumentation, and polarized noble gas techniques A strong background in experimental physics research
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, and contribute to science communication and our open-source tools Your Profile Master and/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field