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invites applications for a highly motivated PhD student to join our pioneering research in quantum simulations with trapped Rydberg ions. The aim of the PhD project is to develop a 2D ion trap experiment
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efficient simulators for continuous and discrete variable systems with noise based on Gaussian/stabilizer decompositions quantum error mitigation and correction for continuous variable systems evaluating and
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models, real-time telemetry, and AI-enhanced analytics, the research aims to enable continuous simulation and verification across the entire ECU lifecycle—from early model-in-the-loop design to deployment
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
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, simulation, cloud environments (Kubernetes type, Docker-compose, virtualization, etc.), 3D environments (Unity like). LanguagesENGLISHLevelExcellent Additional Information Benefits -Integración en un Grupo de
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Vacancies PhD position in Simulation of Thermoplastic Composites Manufacturing for Aerospace Applications Key takeaways The PhD positions Press forming of thermoplastic composites Press forming is a
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, necessitating advanced modeling and simulation techniques to analyze and address these issues. Research field: Production and materials engineering, robotics, transport and logistics Offered by: School
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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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bridging theoretical physics and theoretical computer science. In the course of this, you will work on implementing efficient simulators for continuous and discrete variable systems with noise based