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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop and apply tensor-network and quantum-simulation
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given influence over the future of teacher education? Critical perspectives suggest that teacher students and educators have too little opportunity to influence its development. In forward-looking studies
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traditional signal processing. The goal is to develop intelligent, scalable, and sustainable network nodes that can handle everything from user services to advanced coordination tasks. If you are excited by
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maintenance. Your tasks in the project include developing experimental and numerical tools for evaluating the mechanical properties of selected recycled asphalt and asphalt with marginal aggregates. In
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reconstruction. We will use physics modeling, machine learning and experiments to develop new and improved methods for using data from energy-sensitive x-ray detectors to improve the diagnostic quality of x-ray
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topics include other new quantum symmetry-breaking and topologicallyordered states, unconventional phase transitions, and application of newly developed methods, such as Diagrammatic Monte-Carlo
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problems and generative models. This PhD project investigates how generative AI models, particularly diffusion models, can be used as prior distributions in Bayesian inverse problems. The aim is to develop
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is a risk that energetic interactions between hot corium melt and water coolant can damage the containment. The goal of this project is to develop methods for addressing the most influential sources
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to predict how rapidly biofilms develop in dynamic environments, which poses major challenges across industry, where timely biofilm removal is critical. In this project, the PhD student will work with a unique