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Deadline: 31 August 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position
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30 Aug 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Biological sciences Medical sciences Pharmacological sciences Researcher Profile
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Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number SPACER-DC3-CHA Marie Curie Grant Agreement Number 101226997 Is the Job related to
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Deadline 5 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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a comprehensive, multi-fidelity suite of liquid hydrogen (LH2) pump models to predict and analyze pump performance, stability, and its interaction with the broader fuel system architecture for a
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structures, designing appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will
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latest predictive and generative AI for materials, we can offer you the best possible foundation. We seek two highly motivated and talented PhD students to join our group at DTU Compute, and we offer
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international theoretical/computational partners. Your experience and ambitions Master’s degree in the field of condensed matter physics or a closely related field. Existing skills and knowledge in electronic
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foresight into systems without modifying their underlying architecture. We’re bridging the gap between raw language ability and deep strategic reasoning. Just as AlphaGo changed our understanding of what
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possibilities to visualize the architecture and molecular machines driving bacterial growth and development. The bacterial cytoplasm and plasma membrane is a crowded environment, filled with biomolecules, with