30 high-performance-quantum-computing-"https:"-"https:"-"https:" PhD research jobs in Germany
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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Europe research and innovation program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas: DC5: High-Voltage PPU for E-sail Terms: The position is limited to 36 months
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Application Deadline 28 Nov 2025 - 11:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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computing, stochastic computing, and other emerging computing paradigms, stochastic computing, quantum computing and other emerging computing paradigms Very good skills in English speaking and writing. German
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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100% TVL E13 according to the German public sector rates. Applicants should be available from December 1st , 2023. The Chair of Computational Modeling and Simulation is part of the TUM School
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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therapeutic strategies with real-world impact on patient care. The Metabolomics Core Technology Platform (MCTP) is supported by the Excellence Strategy of Heidelberg University as well as the German Cancer
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using