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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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covers theory and algorithms for goal-oriented, semantics-aware communication that enable efficient, intelligent, and adaptive information exchange in autonomous systems. The particular focus
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to the Global Destination Sustainability Index. About us The Department of Computer Science and Engineering is a fully integrated department with the University of Gothenburg and Chalmers University
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. The position is a permanent employment with Ericsson. As an industrial PhD (iPhD) you will be employed by Ericsson while also enrolled in the doctoral programme in Electrical Engineering at Chalmers
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. This project draws inspiration from these biological principles to rethink how intelligent systems represent information, perform computations, and physically implement their algorithms. A key research direction
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whom to follow and which content is shown to us. These recommendations are often based on social network analysis algorithms, which are used to compute features for all nodes in a social network based on
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hierarchical characterization. The project is mainly computational with an experimental component. The successful candidate will have the opportunity to: Establish novel AI reconstruction algorithms based
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, develop theory and algorithms for their practical use, and study complexity and performance trade-offs in relevant applications. The project is led by Professor Erik Agrell (IEEE Fellow), whose