480 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "St" PhD positions in Germany
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Dresden, Germany, Technische Universität Dresden and the University of St Andrews, Scotland. By working together, we create a highly attractive overall package of PhD level research on solid-state chemistry
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Multiple PhD Positions in Fundamental Physics and Quantum Dynamics (m/f/d) The International Max Planck Research Schools for Quantum Dynamics (IMPRS-QD) and for Precision Tests of Fundamental
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair Tackle the challenge of computationally expensive meta-optimization procedures by
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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 2 months ago
. Multiple PhD positions will be awarded on a competitive basis. Successful candidates will receive support fully covering living expenses. This IMPRS, which is devoted to addressing some of the central
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Description The Research Training Group (in German: Graduiertenkolleg, GRK) RTG2670 “Beyond Amphiphilicity: Self-Organization of Soft Matter Via Multiple Noncovalent Interactions” in the second
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. About your role: Develop improved physical models of the image formation process in holographic X-ray imaging Design and implement reconstruction algorithms for handling large-scale tomographic data from
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up experimental systems for cryogenic measurements Development of a microwave quantum control & readout
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to co-design algorithms and circuits to develop efficient neuromorphic hardware, tailored to target tasks. In detail, you will: develop circuit-plausible training/inference algorithms and analyze in