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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 22 days ago
at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences
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) on the topic “Cuprate twisted heterostructures for superconducting quantum circuits” Project Overview: High temperature superconducting complex oxides (La₂₋ₓSrₓCuO₄, YBa₂Cu₃O₇₋ₓ, Bi₂Sr₂CaCu₂O₈₊ₓ) are oxygen rich
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established techniques for quantum circuit representation and manipulation (e.g. diagrammatic methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit
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methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit compilation, optimization and error mitigation collaborate with theoretical computer
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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electronic complementary metal oxide semiconductor digital circuits with the help of artificial intelligence. Unleash your potential in an inspiring environment focused on research and development
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neuromorphic hardware, this project will push into next-generation analog circuits and memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear
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for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital neuromorphic hardware, this project will push into next-generation analog circuits and
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electronics, or related areas. • Familiarity with integrated circuit design, signal processing, or multiphysics simulations is advantageous. • Interest in cross-disciplinary research at the interface of sensor
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field