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important as high accuracy Supervise student projects at BSc, MSc, and PhD level Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed computer systems
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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dynamics of energy materials on the atomic and mesoscopic scale using neutron methods, complementary X-ray experiments and support of further techniques including computer simulations Synthesis and
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data for system monitoring and control. We are currently seeking a PhD student for the following research topics: Data analysis considering uncertainties and related metrologial aspects Development
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Your Job: We are working on scalable electronic architectures based on semiconductor spin quantum bits (qubits) to make the vision of a universal quantum computer reality. For scaling up the number
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Experience in electrochemistry and polymer chemistry desirable Good mechanical and electronics skills, motivation to building new devices Excellent ability to work as a part of interdisciplinary team and in
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for memristive circuit measurements and experimental data analysis interact with cross-disciplinary experts (e.g. neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic
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electron microscopy is considered an advantage Knowledge of spent nuclear fuel systems, actinide and radiochemistry is desirable The ability to work in an international multidisciplinary team, and to work
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for energy systems. Your work should first focus on the translation of basic power system algorithms to quantum computing (QC). As a result of this phase, use cases should be defined to highlight the value
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Your Job: In this thesis project, you will create confined electronic systems, based on state-of-the-art thin film technologies. Your goal will be to demonstrate gate-tunability of the electronic