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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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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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. 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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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
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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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Ref no: ORU 2.1.1-07577/2025 Örebro University and the School of Science and Technology are offering a doctoral student position in Computer Science. The position is expected to conclude with a
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science We are looking for two highly motivated individuals to pursue a Ph.D. in algorithms