34 high-performance-quantum-computing-"https:" "https:" "https:" positions in Germany
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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enrolled in our research-oriented PhD/doctoral programme. In our optics / photonics and quantum technology programme, we offer: high-end research and education in a world-class scientific environment with
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« »Transport Processes« »Image Processing« »High Performance Computing« »Financial Mathematics« »Materials Characterization and Testing« What you bring to the table The requirements for your field of activity
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, German Diploma, or equivalent degree in life sciences, physics, chemistry, informatics, or a related field Final grade of 2.0 or better (according to the German grading system) Language requirements As
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bridging satellite remote sensing applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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activities, and a buddy programme. List of doctoral programmes and other offers We provide PhD positions within the framework of our core areas: A: Designing dynamical emergence in quantum matter B: Capturing
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quantum computers and the ones using them. We are working on a visionary and large-scale ERC Consolidator Grant Project and are a part of the Munich Quantum Valley-Initiative (https://www.munich-quantum
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communication theory, as well as in quantum coding theory ▪ Interest in theoretical work with high practical relevance ▪ Interest in demonstrating research results on a hardware platform ▪ Software: Experience