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Field
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic performance in fuel cell (biogas) and co-electrolysis
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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at the University of Wuppertal Work with a variety of calibration units, optimize and extend existing setups, develop a novel setup to perform an absolute radiometric calibration Perform a line-of-sight calibration
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data quality acquisition to final publication, (4) overseeing measurement performance and support of data analysis including the data management and storage, (5) coordination between the existing
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the
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and operation of the relevant equipment and systems regular participation in project meetings and active exchange with partner institutions documentation, publication, and presentation of the scientific