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applications in next-generation quantum-technology hardware by leveraging photonic technologies to develop distributed, highly integrated and miniaturized quantum systems for computing, information processing
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applications for a permanent W3 professorship with a focus on computational and/or experimental approaches in neuroscience. The position is jointly appointed at the Faculty of Natural Sciences, OVGU, and
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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special focus on the “Power Hardware-in-the-loop (PHiL)” approach. While working with various real-time systems and setting up grid models, you will develop test methods to generate measurement data
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, operation, and optimization of SPS- and PLC-based control systems for experimental equipment and beamline instrumention Integration of hardware and software interfaces (motors, detectors, sensors, sample
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a soldering station, hardware tools, as well as using a computer You are willing to expand your knowledge to cover the entire range of sample environment at JCNS You are a good team-player when it
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with a special focus on the "Power Hardware-in-the-loop (PHiL)" approach. While working with various real-time systems and setting up grid models to investigate transient events, you will develop test
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(Talos120, Arctica, 2 x Krios, Aquilos, Arctis). Integrate novel future hardware technologies, e.g., double Cs/Cc imaging correctors, Helium temperature and STEM, into sustainable internal and external user
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University Competence Center (UCC; https://ucc.tum.de/) at the TUM to assist in the hardware/software maintenance of ProteomicsDB, with the option to receive a proof of work with SAP HANA. TUM is one
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computers Developing algorithms to decompose (arbitrary) unitaries into native operations of a given target system Optimizing circuits taking error models of actual hardware into account Exploiting quantum